AI Development Team Lead (1007697)
Elad Software Systems · Bnei Brak, Tel Aviv District, Israel
Apply & track with Apply EdgeWe’re Hiring: AI Development Team LeadWe’re looking for a talented AI Development Team Lead to lead our organization’s AI domain and drive the development of advanced, enterprise-scale AI solutions.This is a key leadership role combining people management, technological leadership, architecture, and hands-on AI expertise, with responsibility for strategic projects from initial design through production.What you’ll do:
- Lead and mentor a team of AI developers, driving technical excellence
- Design architectures for enterprise-scale AI and Generative AI solutions
- Lead the development of AI Agents, RAG solutions, and intelligent automation
- Collaborate with Business, IT, Data, Information Security, and Infrastructure teams
- Establish development standards, conduct Code Reviews, and implement Best Practices
- Ensure the quality, performance, security, and scalability of AI solutions
- Evaluate and implement emerging AI technologies
- Drive innovation and continuously develop the team’s technical capabilitiesWhat we’re looking for:✓ 5+ years of software development experience✓ 3+ years of experience managing development teams✓ 2+ years of proven experience developing AI and Generative AI solutions in Production✓ Strong Python skills and Backend development experience✓ Experience with LLMs and platforms such as OpenAI, Azure OpenAI, Google Vertex AI, or AWS Bedrock✓ Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks✓ Hands-on experience with AI Agents, MCP, RAG, Prompt Engineering, Function Calling, and Agentic Workflows✓ Experience with Vector Databases such as Pinecone, Weaviate, Milvus, or pgvector✓ Experience with Microservices, Docker, Kubernetes, and CI/CD✓ Experience working with AWS, Azure, or GCP✓ Strong technological leadership, system thinking, and architectural capabilitiesA significant advantage: Experience building enterprise AI platforms, AI Governance and Responsible AI, MLOps, Data Engineering, Data Governance, Enterprise integrations, and working in large-scale or regulated environments.