LLM Platform Engineer/Lead (m/f/d)

Overview

LLM Platform Engineer/Lead role to build internal tooling, frameworks, and workflows that help teams ship AI-powered features quickly and safely.

What you'll do

• Design and build internal AI frameworks, SDKs, and shared libraries.
• Enable teams to integrate AI features with minimal friction.
• Set up standardized patterns for using LLMs, embeddings, agents, and workflows.
• Build reusable components for prompt management, evaluation, observability, and safety.
• Define best practices for AI usage, cost control, and reliability.
• Prototype AI-powered features and turn them into reusable building blocks.
• Own AI tooling from experimentation through production.

What you'll need

• Hands-on experience with LLM APIs such as OpenAI and Anthropic.
• Experience with RAG pipelines, embeddings, and vector databases.
• Familiarity with prompt engineering, prompt versioning, and evaluation.
• Experience with AI orchestration frameworks and AI observability/cost monitoring.
• Shipped at least one LLM-powered feature to production and iterated based on telemetry or user feedback.
• Comfortable with embeddings, fine-tuning, vector search, tokenisation, and evaluation methodologies.
• Strong Python skills (required).

Details

• Work mode: Remote (EMEA or Bangalore).