We’re seeking a Team Lead – Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader—capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
- Leadership & Team ManagementLead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
- Define and enforce coding standards, architectural patterns, and best practices.
- Collaborate with stakeholders to translate business needs into AI-driven solutions.
- Manage project timelines, technical risks, and team deliverables.
- Generative AI & Prompt EngineeringIntegrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
- Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
- Implement safeguards (guardrails, structured output validation, injection protection).
- Architecture & Backend DevelopmentBuild scalable backend services in .NET (C#) and Python, working with SQL and APIs.
- Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
- Drive observability: tracing, logging, monitoring for LLM-powered systems.
- Evaluation & OptimizationBenchmark and evaluate LLMs using custom datasets and automated testing.
- Oversee system reliability, performance tuning, caching, and optimization.
- Ensure solutions meet enterprise-grade standards for security and scalability.
Requirements:
- 5+ years of professional experience in Machine Learning / AI engineering.
- 1–2+ years hands-on experience in Generative AI application development.
- Proven leadership or team lead experience (mentoring, managing, or leading AI/ML engineers).
- Strong backend engineering skills in Python.
- Solid knowledge of LLM providers (OpenAI, Anthropic, etc.) and prompt engineering techniques.
- Experience with RAG pipelines, AI workflows, and productionizing LLM systems.
- Hands-on with Docker, Kubernetes, REST APIs, and Azure (AKS, ACR, containerized deployments).
- Excellent communication skills (English, written and spoken).
Preferred
- Azure AI ecosystem: OpenAI, PromptFlow, Azure ML, AI Services.
- Familiarity with CosmosDB, KQL, Azure Log Analytics, App Insights.
- Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.).
- Prompt caching, compression, and output validation strategies.
- Redis caching for performance optimization.
- Frontend experience with React and Next.js.