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3 ימים
חברה חסויה
Location: Merkaz
Job Type: Full Time
we are seeking for an Senior AI software engineer. This role requires As part of the role, you will be responsible for developing end-to-end AI/GenAI systems based on LLMs, building and maintaining robust data, model, and inference pipelines, including the design of scalable embedding systems and RAG architectures. The role also includes designing cloud-native architectures with auto-scaling capabilities, supporting both dedicated AI applications and shared internal development platforms. You will be responsible for seamlessly integrating corporate governance, compliance controls, and information security solutions into the AI ecosystem, while ensuring that all systems meet strict banking industry standards and requirements. Full-time position, Sunday-Thursday, based in Lod, Israel.
Requirements:
* 8+ years of experience in software development in a production environment - required.
* 5+ years of proven experience with Python and JavaScript /TypeScript - required.
* 3+ years of experience with AWS - required.
* Proven experience designing scalable microservices, event-driven architectures, and distributed backend systems - required.
* Experience with APIs and information security - required.
This position is open to all candidates.
 
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1 ימים
דרושים בOne DatAI
Location: Lod
Job Type: Full Time and Hybrid work
We are looking for a Senior AI Engineer to join our centralized AI Center of Excellence, leading AI adoption across a large financial enterprise. You will design and scale advanced AI applications deeply integrated into our core financial systems, building robust backend services, Developer tooling, and enterprise-grade governance.

Key Responsibilities:
End-to-End AI/GenAI: Develop production-ready systems powered by LLMs and agentic frameworks (e.g., LangGraph) from prototyping to deployment.

Pipelines & RAG: Build and maintain robust data, model, and inference pipelines, including scalable embedding systems and advanced RAG architectures.

Cloud-Native Architecture: Design auto-scaling, cloud-native architectures supporting both dedicated AI apps and internal Developer platforms.

Governance & Security: Implement enterprise governance, compliance controls, and security products
Requirements:
Software Engineering: 8+ years of professional backend development experience in production environments (Mandatory).

Programming Mastery: 5+ years of deep, proven expertise in Python (asyncio, concurrency, Pydantic) and JavaScript /TypeScript (Mandatory).

Cloud & DevOps (AWS): 3+ years of hands-on experience building cloud-native systems with Docker, Kubernetes, AWS core services (S3, Lambda), CI/CD, observability, and data streaming/queues (SQS/Kafka) (Mandatory).

Distributed Systems: 4+ years designing scalable microservices, event-driven architectures, and high-load distributed backends (rate limiting, queues, backpressure, DLQs) (Mandatory).

API & Security: Hands-on experience with REST/GraphQL APIs and enterprise auth (OAuth 2.0, JWT, OIDC) (Strong Advantage).

Applied AI & MCP: Proven experience with complex LLM solutions, handling non-deterministic outputs,
This position is open to all candidates.
 
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6 ימים
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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7 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Applied AI Engineer, you will lead the bridge between cutting-edge AI capabilities and production-grade software. You will design, build, and optimize the intelligent systems, agentic workflows, and LLM-driven architectures that power our companys conversational products.
Also, you will combine software engineering rigour with state-of-the-art Generative AI techniques - optimizing for conversational quality metrics, latency, and system reliability in high-scale production environments, serving millions of users. We are looking for an engineer who is hungry for AI innovation, eager to pioneer new generative capabilities, and passionate about shipping impactful AI solutions.
In this role, you will:
Design & Scale AI Systems: Architect and deploy high-performance LLM orchestration systems, agentic workflows, retrieval-augmented generation (RAG) pipelines, and AI microservices.
Bridge AI Research & Production: Transform frontier LLM research, foundation models, and generative techniques into robust, production-ready features with high availability and low latency.
LLM Evaluation & Guardrails: Design and implement automated LLM evaluation (evals) frameworks, benchmark suites, and guardrail policies to continuously measure accuracy, reduce hallucinations, and ensure safety across product flows.
Optimize Performance & Cost: Lead latency, throughput, and token-cost optimization strategies across commercial APIs and open-source models.
Set AI Engineering Standards: Elevate software craftsmanship across the team through architectural reviews, code quality, and LLMOps best practices, utilizing the latest AI tools.
Drive Product Innovation: Collaborate closely with product and engineering teams to translate complex human resource and conversational challenges into intelligent software solutions.
Requirements:
Basic Qualifications:
Applied Generative AI: Proven track record of shipping complex LLM systems to production (e.g., Multi-agent architectures, RAG systems, tool/function calling, complex dialogue managers) coupled with a passion for continuous AI innovation.
5+ years of hands-on software development experience, focusing on building complex, distributed systems.
System Architecture & Cloud: Strong system design skills in cloud-native environments (AWS/GCP), containerization, and modern CI/CD automation.
Engineering Quality for AI: Deep understanding of testing non-deterministic AI systems (eval-driven development, deterministic regression testing, automated benchmarking).
Technical Leadership: Proven experience leading architectural designs, driving cross-functional alignment, and mentoring engineers in AI engineering principles.
Fluent English: High proficiency in both written and verbal communication.
Work Authorization: Authorization to work in Israel.
Preferred Qualifications:
Python Expertise: Deep proficiency in Python and modern backend framework development, with strong API design and asynchronous programming skills.
Vector Search & AI Infrastructure: Hands-on experience with Vector Databases (e.g., Pinecone, Qdrant, Milvus, pgvector) and modern orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen/CrewAI).
Model Customization & Fine-Tuning: Practical experience with model fine-tuning techniques (e.g., LoRA, QLoRA, SFT, DPO/RLHF) and dataset curation.
LLMOps & Observability: Hands-on experience with LLM tracing and observability stacks (e.g., LangSmith, Phoenix, Arize, Weights & Biases).
Inference & Serving: Familiarity with LLM serving engines and frameworks (e.g., vLLM, TensorRT-LLM, Ollama).
Domain Experience: Background in Conversational AI, Dialogue Management, or Recruitment/HR tech automation.
Data Science/ML Foundation: Formal background or practical grounding in NLP, Machine Learning, or Data Engineering.
This position is open to all candidates.
 
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לפני 22 שעות
חברה חסויה
Location: Jerusalem
Job Type: Full Time
we are looking for an experienced AI Solutions Architect to join our team and support the design and implementation of AI solutions across organizational systems. The role focuses on designing AI-based solutions to improve existing business processes, supporting development teams in implementing AI solutions, and defining scalable, secure, and compliant AI architectures. The position combines AI architecture, Cloud technologies, technical consulting, and cross-functional collaboration. This is not a pure hands-on development role; rather, it requires strong technical leadership, architectural thinking, and the ability to guide development teams throughout the implementation lifecycle.
Key Responsibilities
* Design and architect AI-based solutions for organizational and enterprise-wide use.
* Support development teams in planning and implementing AI solutions.
* Provide technical guidance and participate in POCs, including involvement at the code level when required.
* Define best practices and guidelines for the effective use of AI models.
* Develop technical procedures and guidelines for development teams while ensuring compliance with regulatory and information security requirements
* Design cross-organizational AI solutions, including solutions for making organizational data and information more accessible.
* Work with external vendors and partners on AI-based projects, including technical guidance, coordination, and quality control.
* Troubleshoot complex technical challenges and provide architectural solutions.
* Lead and coordinate technology initiatives and work closely with multidisciplinary teams.
* Support teams in adopting AI technologies and integrating them into existing systems and processes.
Requirements:
4+ years of experience as a Solutions Architect / Cloud Architect in Public Cloud environments.
* Strong knowledge of IaaS, PaaS, and SaaS environments.
* Proven experience designing and implementing Cloud-based solutions and architectures
* Experience with AI technologies, AI-based solutions, or Generative AI
* Experience providing technical guidance to development teams.
* Experience with POCs and the ability to engage at the code level when required.
* Understanding of AI governance, information security, and regulatory requirements
* Experience working with external vendors and technology partners.
* Experience managing or leading technical teams and technology initiatives
* Strong communication, problem-solving, and architectural skills. Location & Work Model Jerusalem, Israel
* On-site position, according to project requirements. Security & Compliance The role involves working with organizational systems and may require compliance with applicable information security and regulatory requirements
This position is open to all candidates.
 
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7 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
As the leading provider of Talent Orchestration technology, HiredScores artificial intelligence, automation, and deep integrations empower the worlds most innovative companies to drive critical business outcomes in recruitment, diversity hiring, and internal mobility.
Now part of Workday, HiredScore is seamlessly integrated into the Workday ecosystem, streamlining complex HR processes and delivering AI-driven insights that allow recruiters to focus on what matters most: top talent.
At our Israeli site, we operate with an agile, high-trust culture. We believe our employees are our greatest asset, and we foster an environment of continuous learning, fast feedback, and collaborative problem-solving.
The Opportunity
We are looking for a Senior Backend Engineer to join the Sourcing Team within our Core Engineering group in Israel. This team is the architectural engine behind our candidate-matching solutions, finding the best roles for candidates and the best talent for organizations.
You will lead the design of robust, scalable systems leveraging Python, React, Kubernetes, MongoDB, and Celery, while integrating MS Teams to create a seamless communication experience for recruiters and candidates alike.
Work Model: Hybrid (3 days in-office, 2 days remote) at our Israel site.
About the Role
Architectural Leadership: Design and implement high-performance, scalable solutions for global enterprises using code generation. You will take full ownership of the lifecycle-from initial conceptualization and architectural design to implementation and global delivery.
System Evolution: Drive the evolution of our distributed systems built on Kubernetes, ensuring they meet the demands of a rapidly scaling client base.
Production Excellence: Set and maintain the gold standard for production systems. You will champion best practices in testing, observability, and proactive alerting to ensure mission-critical stability.
AI Integration: Partner closely with Product Managers and Data Scientists to embed cutting-edge AI and machine learning capabilities into our core offerings.
Technical Mentorship: Act as a force multiplier for the team. You will mentor and upskill fellow engineers, fostering their technical growth and execution potential through code reviews, design docs, and pair programming.
Strategic Input: Bring your deep industry experience to our agile processes, helping the team adapt, grow, and innovate.
Requirements:
Basic Qualifications
5+ years of professional backend experience, with a focus on Python or JavaScript/TypeScript (experience in Java or Go is highly valued).
Familiarity with modern frontend frameworks like React or Vue.
A track record of designing and building complex, large-scale systems and high-concurrency architectures.
Deep experience with Kubernetes (K8s) and modern CI/CD pipelines.
Expertise in integrating third-party APIs and managing modern message brokers (e.g., Celery, RabbitMQ, Kafka).
Strong proficiency in both SQL and NoSQL (e.g., MongoDB, PostgreSQL) and data modeling for scale.
High efficiency in leveraging coding agents (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate the development lifecycle.
Self-driven with the ability to navigate ambiguity and partner effectively with both internal stakeholders and external development teams.
Other Qualifications
Experience with platforms such as Argo Workflows or Airflow.
Hands-on experience building and maintaining robust ETL/data pipelines.
Demonstrated experience onboarding and mentoring junior and mid-level developers.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Palo Alto Networks is seeking a Senior or Principal Backend Engineer (we are open to hire both levels) for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Your Impact:
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.
Requirements:
Your Experience
5+ years of software backend engineering experience, including development of scalable server-side applications using Go, Python, or Java.
Practical, hands-on experience with AI, demonstrated by using AI tools in your day-to-day coding workflow, developing AI features for production environments, and/or building personal AI projects.
Strong conceptual understanding of the AI landscape, including various models, frameworks, and prompting techniques.
Demonstrated experience integrating Generative AI solutions into backend architectures.
Proficiency with a variety of database technologies.
Experience with distributed cloud products and major cloud platforms (e.g., GCP, AWS, Azure).
Nice to have:
Experience with containerization and orchestration technologies such as Kubernetes and Docker.
Proven ability to learn and adapt to new technologies and complex technical challenges in a fast-paced environment.
This position is open to all candidates.
 
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חברה חסויה
Location: Rosh Haayin
Job Type: Full Time
We are seeking a highly skilled and motivated Senior Software Engineer GenAI to join our growing R&D team. In this role, you'll design, develop, and scale our next-generation backend platform, AI-driven workflows, and GenAI applications. You'll work with modern cloud technologies and LLMs to build resilient, high-performance systems while contributing to architecture, technical leadership, and mentoring.

This role is ideal for an experienced backend engineer who enjoys solving complex technical challenges, building scalable systems, and working with cutting-edge AI technologies.

Key Responsibilities

Design and develop scalable backend services using Python.
Build resilient distributed systems, microservices, and AI-driven workflows.
Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services.
Design and implement event-driven architectures and modern APIs.
Optimize databases, search capabilities, and caching strategies to support high-performance applications.
Contribute to cloud infrastructure, CI/CD pipelines, and observability practices.
Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions.
Provide technical leadership through architecture discussions, mentoring, and hands-on development.
Requirements:
5+ years of backend software engineering experience.
Strong Python development skills, preferably with FastAPI and/or Django.
Experience designing scalable distributed systems and microservice architectures.
Experience building AI-powered applications or integrating LLMs (AWS Bedrock preferred).
Experience working with SQL and NoSQL databases, ORM frameworks, and query optimization.
Familiarity with event-driven architectures, messaging technologies (Kafka, Celery, or similar), and distributed caching (Redis).
Experience building REST, GraphQL, or gRPC APIs using Nest.JS or FastAPI or Django and LiteStar.
Experience with Docker, CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native development.
Knowledge of monitoring and observability tools such as OpenTelemetry, Prometheus, Grafana, Datadog, or similar.
This position is open to all candidates.
 
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Location: Jerusalem
Job Type: Full Time and Temporary
We are looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.
Requirements:
All you need is:
B.Sc. in Computer Science, Software Engineering, or a related technical field.
4+ years of hands-on software engineering experience, with a strong focus on Python development.
Proven experience building and deploying production LLM applications, including agentic. workflows, tool calling, and context management.
Nice to Have:
Deep understanding of CI/CD pipelines, DevOps practices, and automated build/test systems.
Experience with cloud infrastructure and modern deployment architectures.
Familiarity with Git and GitLab, backed by practical experience in automating developer workflows.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.
Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.
Strong grasp of modern patterns for integrating LLMs into real workflows, including RAG, MCP (Model Context Protocol), vector databases, agents, tool use, and context engineering- with hands-on experience building with several of them.
- Production experience implementing LLM-powered systems end-to-end, using relevant tools and frameworks (e.g. LangChain, LlamaIndex, LangGraph, Haystack, Pydantic AI, vector stores like Pinecone/Weaviate/pgvector, observability tools like LangSmith or Langfuse).
- Solid foundation in core ML concepts; embeddings, evaluation, overfitting, generalization, and how classical ML relates to and differs from modern LLM-based approaches.
Nice to Have:
- Experience fine-tuning or distilling open-source models.
- Contributions to open-source AI/ML projects.
- Experience with streaming, real-time systems, or low-latency inference.
- Familiarity with prompt evaluation frameworks and LLM-as-judge methodologies.
This position is open to all candidates.
 
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22/09/2026
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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הגשת מועמדותהגש מועמדות
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8828838
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