Responsibilities
- Own LLM-based systems from design to production support.
- Design architectures for Generative AI systems (RAG, agents, tool/context serving).
- Make clear trade-offs between quality, latency, cost, and complexity.
- Set engineering standards for building and operating AI systems in production.
- Act as a technical reference point for applied GenAI.
- Build and maintain production LLM-powered systems.
- Develop chatbots and AI assistants with predictable behavior.
- Design and implement RAG pipelines (ingestion, embeddings, retrieval, generation).
- Implement agent-style workflows with tool/function calling.
- Build and integrate MCP servers or similar context/tool-serving components.
- Integrate AI systems with backend services and ML infrastructure.
- Design evaluation frameworks for LLM outputs.
- Monitor LLM behavior, system health, and costs in production.
- Address performance, scalability, and operational issues.
- Handle production incidents and contribute to long-term fixes.
- Design systems with failure modes, fallbacks, and graceful degradation.
Requirements
- Strong software engineering background.
- Proven experience building LLM-based systems in production.
- Hands-on experience with: LLMs and RAG architectures, Chatbots or conversational AI systems, Tool/function calling and agent-style patterns.
- Experience with context or tool-serving systems (MCP or similar).
- Experience integrating AI into real-time production products.
- Understanding of performance, scalability, and cost trade-offs.
- Cloud experience (preferably AWS).
- Strong engineering fundamentals (testing, debugging, reviews, observability).
Nice to Have
- Multi-agent or workflow-based systems.
- Fine-tuning or adapting open-source LLMs.
- ML platforms / MLOps background.
- Experience operating latency- or cost-sensitive systems.
- Production incident ownership in AI systems.
Benefits
- Benefits Cafeteria — annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages.
- Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.
Work Arrangement
Remote (Worldwide)
Why you’ll love working here
- Benefits Cafeteria — annual budget you allocate to: Sports • Medical • Mental health • Home office • Languages.
- Work-life & support - Paid maternity/paternity leave + monthly childcare allowance.
- 20+ vacation days, unlimited sick leave, emergency time off.
- Remote-first + tech support + coworking compensation.
- Team events (online/offline/offsite).
- Learning culture with internal courses + growth programs.
Our culture & core values
- GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.
- FUELLED BY TRUST: we’re open, honest, and have each other’s backs.
- OWN YOUR GAME: we take initiative and own what we do.
- ACCELER8: we move fast, focus smart, and keep it simple.
- CHALLENGE ACCEPTED: we grow through challenges and stay curious.
- BULLETPROOF: we’re resilient, ready, and always have a plan.
Additional Information
- Remote-first
- Tech support provided
- Coworking compensation available
