Senior AI Engineer
Core
Design, develop, and deploy enterprise generative AI solutions (LLMs, RAG, agentic systems) to help clients make data-driven decisions.
Role type
Senior AI Engineer (Generative AI / LLMs)
Builds
Production-grade generative AI applications and agentic systems for enterprise clients
Domain
Consulting / Generative AI / Large Language Models
Deliverable
production ML models | product features
Required skills
Generative AI / LLM development, RAG architecture, Agentic systems design, Python (advanced), Backend frameworks (FastAPI, Flask, Django), Microservices, Containerization (Docker, Kubernetes), MLOps, CI/CD, Cloud platforms (Azure ML, Databricks, AWS), Data ETL, API integration, Software engineering principles (Clean Code)
Preferred skills
Multi-agent system architecture, LLM monitoring and evaluation, Modern agentic paradigms (CodeAct, MCP, A2A, Deep Agents), Transformer architecture theory, Process automation tools (n8n, Copilot Studio), SAP AI Core
Technologies
Python, FastAPI, Flask, Django, Docker, Kubernetes, GitHub Actions, MLflow, Azure ML, Databricks, AWS, n8n, Copilot Studio, SAP AI Core
Responsibilities
Design and implement LLM-based, RAG, and agentic systems from PoC to production; Define technical architectures for generative AI applications; Lead complex AI solution delivery; Adapt latest generative AI trends to client needs; Collaborate with business units to identify use cases; Mentor junior and medior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities