דרושים » AI » ***דרוש /ה AI Engineer לחברה מעולה בראש העין***

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.

Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

We are hiring a GenAI Engineer to join a team building and delivering real-world generative AI solutions - systems that move beyond prototypes and into production, where real users rely on them every day.
You'll take complex problems from the first customer conversation through to a working system running in their environment. You'll build GenAI solutions that are deployed, used, and relied upon - not just demos or experiments.
The problems are unusual, and the constraints are real: on-premise and air-gapped deployments, strict data handling requirements, and complex customer environments. A meaningful part of your work will happen on-site with the people who use the systems you build.
What you'll do:
Build end-to-end GenAI systems: RAG pipelines, agentic workflows, document understanding, and extraction from messy real-world data.
Own the full lifecycle - from data pipelines and model/prompt design to evaluation, deployment, monitoring, and the critical work of making systems reliable and production-ready.
Define what success looks like for each use case, measure performance, and stand behind the results.
Work directly with customers on-site, translating their needs into practical technical solutions.