Machine Learning Team Lead

About the Role

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 Management
  • Lead 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 Engineering
    • Integrate 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 Development
    • Build 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 & Optimization

    • Benchmark 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.

     

    Required Skills & Qualifications

  • 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 .NET (C#), SQL, and 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 / Nice-to-Have
  • 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.