Senior Artificial Intelligence Specialist

Why this role exists: We are growing our AI team and are looking for a Senior AI / Generative AI Engineer to build and operate production-grade LLM-based systems across the platform. This role focuses on applied Generative AI : internal AI automation, chatbots, AI assistants, and MCP-based services already used in production. You will work on top of an existing ML and data platform, building systems that are reliable, maintainable, and practical to operate. This is a hands-on engineering role with end-to-end ownership. Not research. Not prompt-only. What you’ll drive: Technical Ownership 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. Hands-on AI Engineering 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. Production & Reliability 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. What makes you a GR8 fit Must-have 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. Tech Stack: Languages: Python, SQL. LLMs: Amazon Bedrock, OpenAI, Anthropic, open-source models. Frameworks: LangChain, LangGraph, Pydantic, Langfuse. RAG: Embeddings, Qdrant / FAISS / OpenSearch / pgvector. Cloud: AWS (ECS / EKS / Lambda, S3, OpenSearch). DevOps: Docker, Git, CI/CD. 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: Keystone AI 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.