Senior Backend Engineer

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8814915

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חברת השמה / כח אדם

25/08/2026

Senior Backend Engineer- Routing Data

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our companys core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our companys GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.

Requirements:
6+ years of experience in backend software development using one or more programming languages (e.g. Python, Go, Java).
Strong experience with Python in production systems - advantage.
Strong experience designing and operating distributed systems in production environments.
Excellent problem-solving skills with the ability to break down complex systems and deliver simple, pragmatic, scalable solutions.
Solid understanding of databases, data modeling, and performance optimization (SQL and NoSQL).
Experience working with PostgreSQL with PostGIS or other spatial databases - advantage.
Experience working with cloud-based infrastructure and production-grade services.
Experience with geospatial systems, event-driven architectures, AWS, Kubernetes, or high-scale data pipelines - Advantage
BSc. in Computer Science or equivalent - Must.

This position is open to all candidates.

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8796384

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חברת השמה / כח אדם

12/08/2026

AI Senior Backend Engineer - Maternity Leave

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

The AI Teams is shaping the future of how AI is built, integrated, and experienced across our platform. We develop the foundations, tools, and capabilities that enable intelligent experiences for customers, partners, and internal teams alike. From powering AI-driven product experiences to building the infrastructure and platforms that make them possible, we operate at the intersection of innovation, scale, and engineering excellence.
We work in a true continuous delivery environment, with fully automated QA processes and a modern microservices architecture, deploying to production multiple times a day.
Job responsibilities
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

Requirements:
6+ years of experience as a software engineer with a strong emphasis on backend development.
Excellent knowledge of software design, clean architecture, and scalable distributed systems.
Proven experience in leading end-to-end feature development - from design through implementation, testing, and deployment.
Solid experience with testing methodologies (unit testing, TDD, mocking, etc.).
Proficiency with relational databases (PostgreSQL, MySQL, etc.).
Experience with LLMs in production is a strong advantage.
Experience with cloud platforms (AWS or equivalent) is a plus.
Independent, fast learner, and passionate about exploring new technologies.
Proactive team player with a desire to impact our team, our product, and our customers.
Please pay attention that the role is a 9 month temporary position covering maternity leave.

This position is open to all candidates.

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8778972

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23/08/2026

Senior Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We're looking for a Senior Backend Engineer to own core infrastructure that powers our platform - from the pipelines that move and process data at scale, to the systems that keep our engineering org shipping fast and reliably. This is a technical leadership role: you'll set architecture direction, raise the bar on engineering practices, and mentor other engineers, while staying deeply hands-on.
You'll operate in an organization that expects AI-native ways of working. Using tools like Claude, Cursor, Hermes or LangGraphor isn't a bonus here - it's the baseline for how we build, and we expect you to help the rest of the team level up on it too.
What Youll be Doing:
Own core backend infrastructure - design and build scalable, reliable Node.js/TypeScript/Python/Go services that other teams and systems depend on.
Build and scale data pipelines - architect the infrastructure that processes and moves large volumes of data reliably, efficiently, and at scale.
Elevate test & validation infrastructure - build the automation, tooling, and CI/CD systems that let engineering ship fast without breaking things, and that make quality and reliability measurable.
Set technical direction - make architecture decisions with company-wide impact, drive design reviews, and establish engineering standards and best practices.
Mentor and multiply - level up other engineers technically, and help shape a fast, high-ownership engineering culture as the team grows.
Lead with AI-native workflows - use AI-assisted development tools daily to move faster without sacrificing architectural quality, and champion their adoption across the team.

Requirements:
8+ years of backend software engineering experience, including end-to-end ownership of production systems at scale.
Deep expertise in Node.js and TypeScript, with strong software architecture skills for building modular, distributed systems.
Strong cloud and infrastructure experience (AWS, Kubernetes, Docker), including CI/CD, observability, reliability, and production operations.
Experience building and scaling data-intensive systems, including high-throughput data pipelines, distributed APIs, data modeling (SQL & NoSQL), and messaging platforms such as Kafka or Spark.
Experience building developer infrastructure, including internal tooling, test automation, validation frameworks, or agent-facing infrastructure (e.g., MCP servers, AI/LLM tools and APIs).
AI-native engineering mindset, with daily expert use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to significantly improve engineering velocity while maintaining quality.
Technical leadership experience, including mentoring engineers, driving architecture decisions, and raising engineering standards across a team.
Experience working in fast-paced startup or scale-up environments, delivering for customers under short SLAs.

This position is open to all candidates.

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8793364

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26/08/2026

Backend Engineer - Agentic AI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

Requirements:
5+ years of professional backend engineering experience.
Strong expertise in Python and production service development.
Experience building complex, production-grade backend systems such as APIs, data pipelines, distributed systems, or workflow engines.
Hands-on experience or strong practical familiarity with LLMs, agentic AI, tool calling, RAG, workflow orchestration, or AI infrastructure.
Ability to design systems that use AI safely: validation, guardrails, evaluation, observability, and controlled execution.
Solid understanding of databases, data modeling, and API design.
Comfort working with ambiguous product requirements and turning them into robust technical designs.
Excitement about building a new category and solving problems that do not have off-the-shelf answers.
Nice to Have:
Experience with identity, security, governance, permissions, or enterprise SaaS integrations.
Experience with LLM evaluation, tracing, observability, or production AI systems.
Experience building systems that automate complex operational workflows end-to-end.

This position is open to all candidates.

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8797740

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30/08/2026

Platform AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: More than one

Full Time

English Speakers

Hybrid work

We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.
What Youll Do:
Design and build reusable AI platform capabilities used across multiple products.
Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.
Design and build internal AI platforms such as organizational knowledge (Brain), AI developer tools, autonomous engineering workflows, and shared AI services.
Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.
Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.
Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.
Build and operate production AI services using modern cloud-native technologies.
Improve the reliability, scalability and observability of AI systems.
Define engineering standards, reusable patterns and best practices for AI development across engineering teams.
Lead technical proof-of-concepts and drive adoption of innovative AI technologies.
Mentor engineers and provide technical leadership on complex AI initiatives.

Requirements:
B.Sc. in Computer Science or a related field.
5+ years of backend software engineering experience.
3+ years of hands-on experience building production AI systems.
Strong Python development experience - Must.
Hands-on experience with Kubernetes, Docker and deploying production workloads in cloud-native environments - Must.
Hands-on experience with CI/CD pipelines, GitOps workflows and modern software delivery practices - Must.
Deep understanding of Large Language Models (LLMs), prompting, reasoning techniques, structured outputs, tool calling and retrieval architectures - Must.
Strong experience designing and building end-to-end AI systems, from data ingestion and orchestration to production deployment.
Experience designing AI agents, agentic workflows or AI automation systems.
Experience working with Data Science or Machine Learning teams.
Strong software architecture and distributed systems design skills.
Experience with vector databases, graph databases or modern AI data platforms - an advantage.
Experience with AI frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, Semantic Kernel, AutoGen or similar - an advantage.
Experience evaluating and integrating emerging AI technologies into production systems - an advantage.
Excellent spoken and written English skills.
A proactive, curious and collaborative mindset, with a passion for building AI platforms and driving technical innovation across engineering teams.

This position is open to all candidates.

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8802464

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26/08/2026

Senior Backend Engineer - Tel Aviv

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were launching a new AI team at our company to build AI-first products and foundational platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with ownership and influence from day one.
Youll design and build foundational systems that power the next generation of our companys platform, working on high-impact, customer-facing products and helping set the technical bar for the team.
What youll do:
Own features end to end - take ideas from early concept through production. You wont just write code, youll ship real products, iterate quickly, and see the impact of your work with customers.
Think beyond the task -Take initiative, understand the broader context, and help drive product and technical decisions. This is not a ticket-driven role.
Build AI-powered systems- Use AI where it meaningfully improves product quality, development velocity, or user experience, both in what we ship and how we build.
Backend-focused, full-stack mindset- Your core focus will be backend systems, but youre comfortable working across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and designed to grow with the platform.

Requirements:
7+ years of professional software engineering experience, with a strong backend focus
BSc in Computer Science or equivalent hands-on experience
A builders mindset, with experience taking products from idea to production
Comfort working across the stack when needed, from APIs and workflows to infrastructure
Production experience with Python (AI / data-heavy systems) and Go (high-performance services)
An AI-first approach, with a natural instinct for where automation and AI create leverage
A high bar for quality and a willingness to challenge yourself and the team
Clear communication skills and the ability to collaborate effectively in small, senior teams
Bonus Points:
Deep experience on GCP (Vertex AI, BigQuery, Cloud Run, etc.)
Built LLM-powered products beyond simple chatbots - agents, workflows, or autonomous systems
Background in fintech, payments, or other high-stakes, complex domains.

This position is open to all candidates.

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8797692

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3 ימים

Senior Back End Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

we are pioneering the future of Product Security with the first AI Security Architect. As AI transforms how software gets built, were reshaping how it gets secured, shifting security to the design phase, where the biggest impact is made.
Backed by top-tier investors and already trusted by Fortune 500s, we are defining a new category and setting the standard for how AI will power the next generation of secure software development.
At our company, we are pioneering the integration of AI and cybersecurity to empower product security teams. As a Senior Back End Engineer, you will play a crucial role in designing, building, and optimizing the core backend systems that power our advanced AI-driven security tools. Your work will be instrumental in ensuring that our platforms are scalable, secure, and efficient, enabling our AI engines to process vast amounts of data, assess risks, and deliver actionable insights.
What you will do:
Design, develop, and maintain robust and scalable backend systems to support our company's AI-driven security tools
Collaborate with the AI, front-end, and product teams to integrate backend services with AI models and data processing pipelines
Optimize the performance and reliability of backend services, ensuring low latency and high availability
Implement and manage APIs that facilitate seamless integration with external systems and internal components
Ensure that backend architecture adheres to security best practices, safeguarding sensitive data and maintaining compliance with industry standards
Monitor, debug, and resolve any issues in the production environment to maintain system health and uptime.

Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field.
7-10 years of experience in backend development, with a focus on building scalable and high-performance systems
Strong proficiency in Python
Strong experience working with AWS and containerization tools like Docker and Kubernetes
Expertise in designing and working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
Understanding of RESTful API design, microservices architecture, and event-driven systems
Knowledge of cybersecurity principles and practices, with an emphasis on securing backend systems
Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment
Experience working in a cyber security company is an advantage.

This position is open to all candidates.

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8810680

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18/08/2026

Senior QA Engineer - Cyber & AI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization

Requirements:
5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems
Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals
Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium
Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions
Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure
Strong debugging, problem-solving, and system-level thinking
Hands-on experience with Linux environments and shell scripting
Experience working with logs, monitoring, and technical investigation of system failures
Comfortable using AI tools as part of the daily development and automation workflow
Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments
Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams
Nice to Have :
Experience working on cybersecurity products, security platforms, or detection/response systems
Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP)
Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible
Familiarity with Kubernetes and distributed system architectures
Experience working with databases such as SQL, MongoDB, Redis, or Neo4j
Experience with message queues such as RabbitMQ
Experience in performance, load, reliability, or resilience testing
Experience improving observability, logging, and alerting for test and production-like environments

This position is open to all candidates.

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8786668

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חברת השמה / כח אדם

19/08/2026

Senior Backend Engineer - AI Framework (Python)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Backend Engineer on our companys AI Framework team, you will build the foundational platform that enables the entire organization to design, evaluate, deploy, and operate AI agents at scale. This is a new, high-impact team responsible for creating the frameworks, tools, and guardrails that power our companys agentic ecosystem.
Youll work deeply in the agentic space, designing systems for orchestration, evaluation, observability, and safety. The platforms you build will be used by multiple teams across our company, making your impact immediate and company-wide.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Agent Runtime and Execution Engine: Building the runtime responsible for orchestrating agent execution, managing tool calls, maintaining state and memory, and ensuring reliable execution across distributed systems.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.
Youll Impact:
Company-Wide AI Enablement: Empowering every engineering team to build agent-based solutions faster, with higher quality and confidence.
Foundational AI Infrastructure: Establishing the core frameworks, evaluations, and observability standards that all AI agents at our company will rely on.
AI Safety and Quality Bar: Raising the bar for how AI systems are evaluated, monitored, and governed across the compan

דרישות:
7+ years of backend engineering experience, with strong system design and platform-building expertise.
Strong analytical and problem-solving skills, with the ability to debug and resolve complex technical issues efficiently.
Hands-on experience designing and building agentic systems or agent frameworks in production, including orchestration, tool usage, memory management, and multi-step workflows.
Experience extending or building frameworks on top of tools like LangChain, LangGraph, ADK, or similar agent orchestration frameworks.
Experience designing, implementing, and operating production-grade AI agents, including handling failure modes, retries, observability, and real user traffic.
Strong understanding of AI evaluation methodologies, including agent evaluations, prompt evaluation, regression testing, and quality monitoring.
High proficiency in Python for building production-grade AI frameworks and services.
Familiarity with Java and experience integrating backend platforms or tooling into Java-based systems.
Experience building observability, monitoring, or platform tooling for distributed s המשרה מיועדת לנשים ולגברים כאחד.

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8788382

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27/08/2026

AI-Driven Backend Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

we are looking for a Senior Backend Engineer with a strong passion for AI and intelligent systems to join our growing R&D team.
In this role, youll be building the backend foundation that powers our AI-enhanced security analytics, autonomous detection, and real-time decisioning systems. Youll work closely with AI engineers, product, and security experts to bring agentic intelligence into runtime platform - transforming how modern apps defend themselves.
Youll architect and implement services that scale to massive volumes of runtime data, integrate large language models (LLMs), and support RAG-based workflows for contextual understanding and response.
Youll Be Great For This Role If You Love To:
Design and build scalable, resilient backend services that power AI-driven runtime security platform.
Integrate LLMs and agentic AI components into production environments to enable autonomous detection and remediation capabilities.
Design evaluation frameworks for measuring model performance and reliability in real-world conditions.
Develop Retrieval-Augmented Generation (RAG) pipelines tailored to application security data.
Own backend architecture decisions - from data modeling to performance optimization - across Node.js, Python, and cloud-native environments.
Contribute to our infrastructure, leveraging CI/CD, Kubernetes, Docker, and modern observability practices.
Mentor peers and help shape AI engineering culture.

Requirements:
5+ years of backend development experience, ideally building scalable and distributed systems.
Deep expertise in Python and modern cloud-native architectures.
Proven experience with AI-enhanced systems - integrating or working with LLMs, RAG, or machine learning pipelines.
Understanding of data-intensive architectures, including streaming, caching, and dataflow optimization.
Strong collaboration and communication skills, with the ability to translate AI concepts into production-grade systems.
Advantage: Familiarity with vector databases, prompt engineering, and evaluation frameworks for AI models.
Advantage: Background in cybersecurity, runtime analysis, or agentic AI design patterns.

This position is open to all candidates.

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8800196

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