Machine Learning Engineer
Core
Designing and implementing multi-agent AI systems and LLM pipelines for enterprise R&D projects in the public sector.
Role type
Senior IC Machine Learning Engineer (Generative AI & Multi-Agent Systems)
Builds
Next-generation enterprise platforms based on multi-agent systems and agentic AI
Domain
Public Sector AI, Generative AI, Multi-Agent Systems
Deliverable
production ML models
Required skills
Large Language Models, Multi-Agent Systems, Prompt Engineering, Retrieval Augmented Generation, Fine-tuning (SFT, LoRA/PEFT), RLHF/DPO, Python, PyTorch, Hugging Face, LangChain, Vector Databases, MLOps/LLMOps
Preferred skills
PhD, Scientific publications, Open source contributions, Project Management (Waterfall/Agile)
Technologies
PyTorch, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, FAISS, Qdrant, pgvector, MLFlow, Docker, Kubernetes, GitLab
Responsibilities
Design and implement AI agents and multi-agent systems with orchestration and hierarchical planning; Develop LLM pipelines including prompt engineering and tool/function calling; Conduct systematic model evaluations and benchmarks; Collaborate on AI safety, governance, and explainability mechanisms; Translate research prototypes into concrete products.
Seniority
Senior, hands-on IC
