Commit

Machine Learning Team Lead, NLP, LLM

Commit

full-time

Posted on:

Origin:  • 🇵🇱 Poland

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Job Level

Senior

Tech Stack

AzureCloudDockerJavaScriptKubernetes.NETNext.jsPythonReactRedisSQL

About the role

  • 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.
  • Guide end-to-end lifecycle of Generative AI applications, ensuring technical excellence and scalability.
  • Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
  • Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting) and implement safeguards.
  • 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.
  • Benchmark and evaluate LLMs using custom datasets and automated testing; oversee reliability and performance tuning.
  • 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), CosmosDB, KQL, Azure Log Analytics, App Insights.
  • Preferred: Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.).
  • Preferred: Prompt caching, compression, and output validation strategies; Redis caching for performance optimization.
  • Preferred: Frontend experience with React and Next.js.