Senior AI Engineer - Agentic Systems

לפני 14 שעות

Senior AI Engineer - Agentic Systems

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.

Requirements:
5+ years building production software
Proven experience building and shipping LLM agents to production - not just demos or prototypes.
Hands-on with at least one agent orchestration framework (e.g. LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or similar).
Strong Python and solid software engineering fundamentals.
Prompt engineering paired with systematic, measurable evaluation of LLM outputs.
Experience with tool use / function calling and integrating LLMs with external systems.
Track record deploying, monitoring, and maintaining AI in production (cloud, CI/CD, observability).
Nice to Have
2+ years hands-on with LLMs / generative AI.
Practical experience with RAG, embeddings, and vector databases (e.g. pgvector, Pinecone, or similar)
Experience with MCP, agent memory, and planning/reasoning patterns.
Background in HR tech, people data, or skills ontologies.
Knowledge graph / graph ML experience (knowledge graphs, GNNs).
Responsible AI: bias evaluation, guardrails, and AI governance.
Experience working across multiple model providers (e.g. Anthropic, Google, IBM watsonx) rather than a single vendor.

This position is open to all candidates.

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לפני 14 שעות

AI Engineer Team Leader

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We are looking for a highly driven and experienced AI Engineer Team Leader to manage and mentor a core team of engineers while remaining 50% hands-on. In this critical role, you will lead the development of our enterprise Agentic AI platform, blending deep technical expertise in AI agent development with strong engineering leadership.
As a Team Leader, you will drive the technical agenda, plan sprints, and collaborate closely with Product Managers and cross-functional partners to turn powerful capabilities into reliable, safe, and fast product experiences. You must thrive in a high-pressure, dynamic startup environment characterized by a fast pace and frequent pivots, ensuring your team remains focused, agile, and aligned with business goals while executing at the highest level.
You won't just manage - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily, and iteration in front of enterprise customers.
Responsibilities
Team Leadership & Management (50%): Manage, mentor, and grow a team of AI and software engineers. Oversee task allocation, sprint planning, and daily agile ceremonies.
Hands-On Engineering (50%): Actively code, design, and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Technical Strategy & Architecture: Drive the technical agenda, architecture decisions, and best practices for developing scalable, LLM-driven applications grounded in our knowledge graph.
System Integration: Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Production Excellence: Build evaluation harnesses, guardrails, and safety/bias checks. Optimize agents for latency, cost, and reliability at enterprise scale. Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Cross-Functional Collaboration: Work intimately with Product Management, Data, and Design teams to translate customer needs into agent capabilities, define roadmaps, and prioritize tasks.
Agility & Execution: Lead the team through frequent pivots and rapid development cycles, ensuring high-quality delivery under pressure in a fast-paced startup environment.

Requirements:
Must-Have:
2+ years of experience managing or leading a high-performing software/AI engineering team.
5+ years of hands-on experience as a Backend or AI/Software Engineer building complex, scalable distributed systems in production.
Proven hands-on experience building and shipping LLM agents to production - not just demos or prototypes.
Hands-on with at least one agent orchestration framework (e.g. LangGraph, LangChain, AutoGen, CrewAI, Semantic Kernel, or similar).
Strong Python and solid software engineering fundamentals.
Strong agile project management skills with a track record of effective sprint planning and execution.
Demonstrated ability to thrive in a dynamic, high-pressure startup environment with rapid execution and frequent shifts in direction.
Excellent communication skills, with the ability to build strong partnerships with Product Managers and other stakeholders.
Nice-to-Have:
2+ years hands-on with LLMs / generative AI.
Practical experience with RAG, embeddings, and vector databases (e.g. pgvector, Pinecone, or similar).
Experience with tool use / function calling and integrating LLMs with external systems.
Experience with MCP, agent memory, and planning/reasoning patterns.
Responsible AI: bias evaluation, guardrails, and AI governance.

This position is open to all candidates.

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09/09/2026

Senior GenAI Data Scientist

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Alice is a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors. We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis. You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models. We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis. Key Responsibilities
* Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks.
* Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis.
* Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns.
* Develop ML models and predictive algorithms to automate red-teaming.
* Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers.
* Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility.
* Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry).

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Requirements:
Must-Have
* M.Sc. in CS/EE/Math/Statistics or a related field; Ph.D. is an advantage.
* 5+ years of hands-on data science or ML experience, programming in Python or R, and SQL.
* 3+ years of experience with Scikit-Learn and PyTorch.
* Hands-on experience in GenAI red teaming, adversarial testing, or LLM security.
* Hands-on experience building and deploying LLM-powered or ML systems in production.
* Strong understanding of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG.
* Strong grasp of clustering, embeddings/NLP, semantic similarity, and anomaly/novelty detection.
* Experience building classification, ranking, or prioritization systems.
* Solid background in statistics, experimental design, and model evaluation.
* Experience with Cradle, Apache Hadoop, and Spark, and with scaling ETL and data pipelines. Nice-to-Have
* Experience building LLM agents or multi-agent workflows with frameworks such as LangGraph, LangChain, or OpenAI Agents SDK.
* Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling.
* Data visualization with Tablea

This position is open to all candidates.

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6 ימים

AI Platform Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are a leading platform for Trust & Safety teams worldwide, leveraging cutting‑edge AI and world‑class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever‑changing threat landscape.
Were seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic.
Key Responsibilities
Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
Develop, deploy and integrate AI solutions and agentic frameworks, creating both command‑line tools and interactive notebooks that support our teams research and workflow automation needs.
Build and manage data pipelines and databases (SQL) for large‑scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
Integrate research into production by implementing the latest generative AI advancements (including white‑box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings
Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end‑to‑end processes for prompt generation, labeling, and response evaluation.

Requirements:
Must-to-have
B.Sc. in Computer Science, Computer Engineering, or a related field (or equivalent hands‑on experience).
5+ years of experience delivering large‑scale, high‑performance systems on AWS, with an emphasis on orchestrating data pipelines and AI workflows in production environments.
Expertise in scripting and automation using Python and shell; proven ability to write clean IaC and CI/CD pipelines.
Strong understanding of Linux systems, networking, and distributed system design.
Ability to break down monolithic systems into scalable, loosely coupled services and microservices.
Strong cross‑functional communication and collaboration skills, with a DevOps mindset to drive best practices across teams.
Hands‑on experience deploying and integrating generative AI models (e.g., large language models or other AI/ML models) in production.
Hands‑on experience deploying MCP clients/servers and integrating them into automated AI workflows.
Nice-to-Have
M.Sc. in Computer Science, Computer Engineering, or a related field.
Experience with large‑scale cluster management or HPC scheduling tools (e.g., Slurm).
Knowledge of advanced observability and monitoring tools such as Prometheus and Grafana.
Experience with cloud cost optimization (FinOps concepts) and exposure to infrastructure security tools or configuration management for compliance.
Hands‑on experience working with A2A protocol.

This position is open to all candidates.

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6 ימים

Senior Software Developer - Malware Research Platform

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority - setting code-quality standards, making the architecture calls, and mentoring the developer team.
What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" - it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged.
Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production - with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call.
What You'll Do
Lead development and delivery
Own technical execution end-to-end: implementation, code review, and release.
Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against.
Manage day-to-day execution: unblock people, sequence work, catch problems early.
Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency.
Partner with the researchers - and amplify them
Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down.
Translate that knowledge into reliable agentic tooling - and know when an agent is confidently wrong before it ever reaches a researcher.
Spend roughly 5-10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used.
Be willing to tell a researcher when a proposed workflow won't automate well - and explain why.
Be the technical authority and mentor
Make the hard architecture and design trade-off calls.
Mentor through code review, pairing, and design discussions. Raise the level of everyone around you.
Dive deep on the critical, difficult features and bug fixes yourself.
Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy.

דרישות:
Must-have
5+ years of software development experience, with a track record of delivering products to production - not just prototypes or POCs.
Strong Python, including async (asyncio), modern typing, and a disciplined testing approach (pytest).
Hands-on Playwright experience in production - not one-off scripts.
Production experience with agentic workflows: building, deploying, and operating LLM-powered systems that plan, call tools, and execute multi-step tasks - using a modern agent framework (e.g., LangGraph, the Anthropic Claude Agent SDK, the OpenAI Agents SDK, or DSPy).
Experience building evaluations and guardrails to measure agent quality and catch regressions before they reach a user (e.g., MLflow GenAI evaluation & tracing, LangSmith, or Braintrust).
Proven experience leading development efforts: estimation, task breakdown, code review, and mentoring.
Experience building tools used internally by expert users (vs. external end-user products), or a clear instinct for the difference.
Nice to have
Background in cybersecurity, malware research, threat intelligence, or an adjacent security domain.
Experience with reverse-engineering tools, sandboxes, or malware-analysis pipelines.
RAG and retrieval pipelines (indexing, reranking, grounding) and a vector store (e.g., pgvector).
Cloud-native infrastructure (AWS, Kubernetes), containers (Docker), CI/CD (GitHub Actions), and observability stacks (OpenTelemetry, Grafana / Coralogix or equivalent).#ENG המשרה מיועדת לנשים ולגברים כאחד.

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22/09/2026

Senior Software Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We are seeking a Senior Software Engineer with a strong foundation in backend engineering and experience building scalable, high-performance systems.
This role focuses on designing and developing backend services that power our **AI-driven products**, with extensive work on **Large Language Models (LLMs), AI agents, and modern GenAI technologies**.
We foster a professional environment where experienced engineers collaborate to drive technical excellence and continuously improve our architecture and products. As a Senior Software Engineer, you will play a key role in building production-grade AI systems, solving complex engineering challenges around scalability, performance, reliability, and AI orchestration.
Role & Responsibilities:
* Design, develop, and optimize scalable backend services and APIs that power AI-driven products.
* Build production-grade applications and workflows using **LLMs, AI agents, and GenAI technologies**.
* Design and implement agentic workflows, including **tool calling, orchestration, context management, and integration with internal services**.
* Integrate and optimize LLM-based capabilities while balancing **quality, latency, reliability, and cost**.
* Design and maintain scalable, reliable, and high-performance distributed systems.
* Take ownership of technical solutions from design and implementation through deployment and production monitoring.
* Improve system architecture, observability, code quality, and development processes.
* Collaborate with Product, DevOps, and other engineering teams to deliver end-to-end solutions.
* Stay up to date with advancements in backend technologies and the rapidly evolving GenAI ecosystem.

Requirements:
* 5+ years of experience in software engineering, with a strong focus on backend development.
* Strong proficiency in **Python and/or Node.js**.
* Strong understanding of backend architecture, APIs, microservices, and distributed systems.
* Experience building scalable and reliable production systems.
* Hands-on experience with cloud platforms, preferably **AWS**.
* Experience with containerization and orchestration technologies such as **Docker and Kubernetes**.
* Experience working with databases and data stores such as **PostgreSQL, Redis, DynamoDB, or similar technologies**.
* Strong system design and problem-solving skills.
* Experience with **LLMs, Generative AI, AI agents, LangChain, LangGraph, or similar technologies** is a strong advantage.
* Experience with **Amazon Bedrock, OpenAI APIs, Langfuse, LLM evaluation, or agentic architectures** is a plus.

This position is open to all candidates.

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27/09/2026

Senior AI Software Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

we are looking for a Senior AI Software Engineer.
As a Senior AI Software Engineer, you'll help build that platform end to end - the agents, connectors, automation, and infrastructure that let the entire company unlock major productivity gains. You'll be designing and shipping AI that takes real work off people's plates, turning manual processes into automated ones, and building the systems that let teams do their best work faster.
Developing our use of Claude and Databricks - currently the backbone of that internal AI stack - is a key part of the mandate. Every one of our 500+ team members already uses Claude and BI in Databricks for analysis, automation, and research, and demand for deeper integrations is growing faster than our R&D team can deliver. You'll be tasked with driving these capabilities and impact to the next level - from surface-level usage to genuinely agentic, high-leverage workflows embedded across the business.
This is a hybrid role: part platform engineer, part internal-facing integration lead. You'll report to the COO and partner across AI Operations, R&D, Data Science, GTM, and other teams, owning the path from integration request to production-grade system. You'll also help build the triage and review process so the broader org can self-serve safely.
If you want to build the AI backbone of a fast-moving company - and see your work adopted by hundreds of people within days rather than quarters - this is that role.

Requirements:
8+ years of backend engineering experience
Prior experience with MCP servers, LLM tool use, or AI agent frameworks
Prior experience in data engineering or analytics tooling;
Solid understanding of REST APIs, OAuth 2.0, and credential management, including Google Cloud auth patterns (gcloud, service accounts)
Experience building and deploying services to Kubernetes or equivalent container infrastructure
Familiarity with Databricks or similar DW/DLs is a plus
Comfort working without an existing playbook - AI platform work at Placer is new; role definition, standards, and tooling will evolve
Strong communication skills; you'll regularly translate between business requests and engineering requirements
Comfortable navigating competing priorities across R&D Architecture (standards), AI Enablement (rollout), and business teams (requests)

This position is open to all candidates.

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01/10/2026

Senior Software Architect, AI Products

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We are looking for a Senior Software Architect to lead the architecture and technical execution of AI products and shared AI capabilities.

This is a strategic and hands-on role for an architect who combines strong backend and distributed-systems expertise with practical experience in data platforms, cloud architecture, web technologies, and AI systems.

You will own the technical architecture from early concepts and proofs of concept through production delivery and operation. You will work closely with engineers, product managers, security researchers, and architects to turn emerging AI capabilities into secure, scalable, reliable, and maintainable products across SaaS and on-premises deployments.

The successful candidate will provide hands-on technical leadership, help engineers resolve complex design and implementation decisions, and ensure that the architecture supports product quality, operational simplicity, and long-term evolution.

What You Will Own

Define and drive the architecture of AI-powered products and shared AI capabilities across SaaS and on-premises deployments.
Design scalable backend services, APIs, data pipelines, data models, and storage solutions for AI and security workloads.
Lead architectural decisions across data ingestion, processing, retrieval, model integration, AI orchestration, and product integration.
Work closely with engineers throughout design and implementation, helping resolve complex technical decisions, trade-offs, and delivery challenges.
Provide hands-on technical leadership from early concepts and proofs of concept through production delivery and operation.
Design systems with clear controls for scalability, backpressure, bounded resource usage, resilience, data integrity, recovery, and observability.
Ensure solutions meet enterprise requirements for security, isolation, permissions, auditability, sensitive-data handling, and on-premises operation.
Define patterns for integrating AI models, retrieval systems, tools, workflows, and deterministic product capabilities.
Design AI-enabled workflows with quality, latency, cost, failure handling, model limitations, and operational complexity in mind.
Support the architecture and development of web-based AI experiences and their integration with backend services and Aqua product workflows.
Evaluate technologies and conduct proofs of concept to validate feasibility, performance, scalability, security, and operational fit.
Define and document architecture standards, technical guidelines, and reusable patterns for the AI team.
Review system designs and critical implementations, and mentor engineers on architecture, backend development, data systems, and production readiness.
Collaborate with Product and Engineering to balance customer value, delivery speed, technical risk, and long-term maintainability.
Partner with other architecture and platform teams to reuse existing capabilities and maintain alignment across Aqua products.

דרישות:
8+ years of experience designing and building backend systems, including large-scale or distributed production systems.
Strong hands-on backend development experience, preferably with Python and Go.
Proven experience designing scalable APIs, services, data pipelines, and data-processing systems.
Strong knowledge of data modeling, relational databases, indexing, caching, and storage-system trade-offs.
Experience designing cloud architectures, preferably on AWS.
Experience designing products for both SaaS and on-premises deployments.
Strong understanding of Kubernetes, containers, distributed systems, networking, and modern deployment practices.
Experience designing systems for reliability, scalability, security, observability, recovery, and operational simplicity.
Experience with modern web development, including React, TypeScript or JavaScript, and npm.
Experience leading technical decisions from early concepts and proofs of concept through production delivery.
Experience drivin המשרה מיועדת לנשים ולגברים כאחד.

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8839261

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01/10/2026

Senior Data Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time and Hybrid work

Required Senior Data Engineer
About the role:
You will specialize in designing and building world class, scalable data architectures, ensuring reliable data flow and integration for groundbreaking biotechnological research. Your expertise in big data tools and pipelines will accelerate our ability to derive actionable insights from complex datasets, driving innovations in improving patients outcome and in delivering life savings treatment solutions.
In this role, you will work closely with data scientists, AI/ML engineers, architect and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.
Location: Ramat Gan, (Hybrid model)
What will you do?
Design, build, and maintain data pipelines that ingest, transform, and load noisy, heterogeneous biological data at scale - from single-cell sequencing, genomic, and clinical sources - across databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Implement and productize complex scientific and computational algorithms as scalable, production-grade pipeline components
Drive our data infrastructure toward becoming AI-native, enabling AI/ML systems and agents to reliably query, reason over, and act on our data
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with ML and AI scientists and other cross-functional teams to understand their data needs and requirements
Drive team capability growth by championing an AI-first SDLC, mentoring data engineers on AI-assisted development practices and tooling
Develop and maintain documentation for data pipelines, processes, and systems
Requirements
We will only consider senior data engineers that have demonstrated strong system design skills combined with an extensive background working with data orchestration, data warehousing and ETL tools.

Requirements:
Required qualifications:
Bachelor's or Master's degree in a related field (e.g. computer science, data science, engineering, computational biology)
At least 7 years of experience with programming languages, specifically Python
Must have at least 5+ years of experience as a Data Engineer, ideally with experience in multiple data ecosystems
Proficiency in SQL and experience with database technologies (e.g. MySQL, PostgreSQL, Oracle)
Familiarity with data storage technologies (e.g. HDFS, NoSQL databases)
Experience with ETL tools (e.g. Apache Beam, Apache Spark)
Experience with orchestration tools (e.g. Apache Airflow, Dagster)
Experience with data warehousing technologies (ideally BigQuery)
Experience working with large and complex data sets
Experience working in a cloud environment
Strong problem-solving and communication skills
Familiarity with biotech or healthcare data - an advantage
Desired personal traits:
You want to make an impact on humankind
You prioritize We over I
You enjoy getting things done and striving for excellence
You collaborate effectively with people of diverse backgrounds and cultures
You constantly challenge your own assumptions, pushing for continuous improvement
You have a growth mindset
You make decisions that favor the company, not yourself or your team
You are candid, authentic, and transparent.

This position is open to all candidates.

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8838827

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אירעה שגיאה בשליחת פרטיך למשרה

17/09/2026

Founding AI Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Were looking for a Founding AI Engineer to build and define the research function at Upriver from zero. This is a rare opportunity to work on some of the hardest unsolved problems in applied AI and agents, with massive ownership, visibility, and room to grow into leadership quickly.

What Youll Do
Lead the AI domain at Upriver: Take ownership of our agent architecture and help define its next phases, standards, and direction.
Solve hard, unsolved problems: Work on challenges in AI agents, reasoning over complex systems, and autonomous decision-making that dont yet have clear playbooks.
Build production AI: Design, implement, evaluate, and deploy AI systems used by real customers.
Be outward-facing: Publish technical blogs, benchmarks, and papers; represent Upriver in the AI and data community.
Move fast with autonomy: Own problems end-to-end with minimal guidance, working directly with founders.
Deliver real customer value end-to-end: take features from idea to production, see them used by customers, and iterate based on real-world impact.

Requirements:
Strong background in AI / ML (applied research, systems, or both).
Experience building or experimenting with hands-on software development.
Comfortable operating independently and making foundational technical decisions.
Strong communication skills and interest in writing, publishing, and sharing work publicly.
High ambition and desire to grow into a technical leadership role.
Extra: Hands-on experience experimenting with large language models (LLMs),

This position is open to all candidates.

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08/10/2026

Senior Software Engineer (Go)

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

We're looking for a Senior Backend Engineer to join the team as a core contributor, owning significant parts of the backend behind these capabilities. The role is backend-first and Go-centric, but you'll also touch the React front end when a feature calls for it - so comfort moving across the stack matters. Quality is a shared responsibility here: our QA partner owns most test automation, but team members regularly pitch in to keep automation coverage moving and avoid bottlenecks.
How will you make an impact?
Design and develop functional and technical capabilities within Chiron's large-scale, distributed backend systems, making ongoing architecture and design decisions
Take full ownership of features and product areas end-to-end: architecture, coding, testing, CI/CD, and production observability
Build and operate distributed microservices - gRPC/REST APIs, message queues, PostgreSQL-backed services - deployed on Kubernetes
Build and maintain React components/pages (e.g., risk tables, single-risk views) that consume your backend services when a feature requires front-end changes
Partner with our QA team on test automation - pitching in on backend automation in Go and front-end automation in Cypress when needed - to help keep coverage moving and reduce bottlenecks
Use AI-assisted coding tools as part of your day-to-day development workflow, from writing and reviewing code to test generation and debugging
Work smoothly with local and remote, multi-geo R&D and non-R&D teams, maintaining high visibility and effective communication
Provide in-depth technical knowledge, guidance, and mentorship to other team members as needed
Participate actively in design discussions and code reviews, holding the team to high execution and quality standards.

Requirements:
5+ years of professional software engineering experience
Strong, hands-on background in Go in production systems
Working proficiency in React - able to build and maintain UI components/pages, even though the role is primarily backend
Strong quality awareness - you think about testability and edge cases as you design, and you're comfortable jumping into test automation alongside QA when needed
Comfortable contributing to test automation, ideally backend automation in Go and/or front-end automation in Cypress (or a similar framework, with willingness to pick up Cypress)
Practical experience using AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor) as part of your regular development workflow, and comfortable adopting them as standard practice on this team
Excellent understanding of modern distributed software architecture: microservices, gRPC/REST APIs, message queues, relational databases (PostgreSQL)
Experience with Docker and Kubernetes
Experience developing with modern Agile methodologies (Scrum, CI/CD, TDD)
Quick to learn new technologies and apply them to complex problems
Highly organized, with strong quality and delivery discipline; self-managed and flexible to change
Excellent English communication skills (verbal and written)
Strong team player
Nice to have
Experience with Cypress specifically for end-to-end front-end testing
Application/cyber security background
Experience with GitOps and Infrastructure-as-Code tooling (Terraform, Helm, ArgoCD)
Experience with OpenTelemetry or production observability tooling.

This position is open to all candidates.

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8849247

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