GenAI Engineering Lead

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

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

AI/ML background

Entrepreneurial mindset