GenAI Engineering Lead

This is a unique opportunity to join the first GenAI Center of Excellence in Israel. You will be at the forefront of cutting-edge technologies, shaping the future of GenAI adoption across the ecosystem.

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 product managers to drive innovation and efficiency through end-to-end AI-powered 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 (AWS, GCP, Azure)

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 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 working with LLM APIs (e.g OpenAI), RAG, Vector DBs, AI agents/assistants and GenAI frameworks (e.g. LangChain)

Proven experience with prompt design and prompt engineering, deep understanding of different prompting techniques

Proven experience evaluating, monitoring and guardrailing LLM outputs and addressing common issues like accuracy, latency, cost and safety

Experience working with cloud-based services and databases (SQL/NoSQL) from at least one major cloud provider (AWS, GCP, or Azure), preferably with regards to deploying AI solutions

Genuine curiosity and passion for Generative AI technology

Self-directed, independent, collaborative and diligent

Fluent English communication skills, written and verbal

Advantages:

AI/ML background

Experience working with AI coding copilots (e.g. GitHub Copilot)

Proficiency in Node.js and/or Java

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