GenAI Engineering Lead

7 hours ago

Petah Tikva Center District, Israel Commit Full time ₪100,000 - ₪120,000 per year

At Commit AI we're expanding a fast-growing practice that helps companies build and ship production-ready GenAI products and solutions. We've served many satisfied customers globally and are now hiring a hands-on GenAI leader to join our
GenAI Center of Excellence in Israel.
As a Generative AI Engineering Lead, you will lead the design, development and implementation of cutting-edge Generative AI solutions for our clients - ranging from Fortune 500s and enterprises to leading SMBs and startups. In this hands-on role, you will work closely with software, AI & data engineers, data scientists, architects and PMs to drive innovation and efficiency through AI solutions.

Responsibilities:

  • Lead (hands-on) the design and development of state-of-the-art Gen-AI applications and products for top-tier clients
  • Build and lead a team of GenAI engineers working across the stack to deliver end-to-end production-grade AI solutions to complex business problems
  • Lead client AI discovery processes and sessions to deeply understand the customer's needs and provide AI implementation recommendations
  • Provide customers with Generative AI expertise and advisory through architecture designs, PoCs and solution reviews
  • Work closely with our teams of cloud experts to deploy AI solutions across all major cloud environments (Azure ,AWS, GCP)
  • Collaborate with cross-functional teams to translate business requirements into technical specifications for AI-powered applications
  • Stay up-to-date with the latest GenAI technologies, research and trends

Requirements:

Requirements:

  • Demonstrable experience building production-grade GenAI applications and solutions
  • 5+ years as a software developer, 3+ of which as a backend/full stack engineer
  • 2+ years as a tech lead or team lead
  • High proficiency in Python
  • Proven experience with LLM APIs/SDKs, RAG, Vector DBs, AI agents, MCPs and GenAI frameworks (e.g. LangChain, LangGraph, AutoGen, etc.)
  • Proven experience with prompt design & context engineering, deep understanding of the different techniques
  • Proven experience evaluating, monitoring and guardrailing LLM outputs and addressing common issues like accuracy, latency, cost and safety
  • Experience working with cloud-based AI services from at least one major cloud provider (Azure ,AWS, GCP), preferably around deploying AI solutions to production
  • Genuine curiosity and passion for Generative AI technology
  • Self-directed, independent, collaborative and diligent
  • Fluent English communication skills, written and verbal

Advantages:

  • Hands-on experience with Azure cloud & AI services (e.g. AI Foundry, Azure OpenAI, Doc Intelligence)
  • Experience working with AI coding copilots (e.g. GitHub Copilot, Claude Code, etc.)
  • Proficiency in and/or Java and/or .NET/C#
  • Degree in Computer Science / SW Engineering / EE or related field
  • AI/ML background
  • Entrepreneurial mindset

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