GenAI Engineering Lead

Description:

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:

●      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 Node.js and/or Java and/or .NET/C#

●      Degree in Computer Science / SW Engineering / EE or related field

●      AI/ML background

●      Entrepreneurial mindset