29 martie 2026
Senior Artificial Intelligence Specialist - Remote
Apply here - https://grnh.se/b8ky1za2teu
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.
- 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.
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).
- 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.
- 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.
Foto
Team buildinguri
Notebook
Ceai, cafea, apă
Fructe
Asigurare medicală privată
Abonament sport
Program de lucru flexibil
Zile suplimentare de concediu
Posibilitatea de a lucra remote
Creștere profesională
Traininguri, cursuri
Foto
Team buildinguri
Notebook
Ceai, cafea, apă
Fructe
Asigurare medicală privată
Abonament sport
Program de lucru flexibil
Zile suplimentare de concediu
Posibilitatea de a lucra remote
Creștere profesională
Traininguri, cursuri