AI Engineer – Agentic & Generative AI; m​/f​/d

We are looking for a hands‑on AI Engineer to help build and implement next‑generation Agentic AI and Generative AI solutions for a major digital transformation initiative.

This is an engineering‑focused role for someone who has gone beyond experimentation and has personally built, fine‑tuned and deployed AI solutions into production
. You will work extensively across Agentic AI, LLM fine‑tuning, RAG, Python and production AI engineering
.

• Design and implement Agentic AI workflows
  , including tool/function calling, orchestration, automated decision flows and system integrations.
• Build and deploy production‑grade RAG pipelines
  , covering document ingestion, chunking, embeddings, vector search, retrieval and grounded generation.
• Fine‑tune LLMs using LoRA and/or QLoRA
  , including dataset preparation, training, evaluation and optimization.
• Develop production AI applications and services using Python
  .
• Integrate LLMs and AI agents with APIs, enterprise systems and data sources.
• Implement evaluation frameworks and guardrails to measure model accuracy, quality, safety and reliability.
• Containerize and deploy AI services using Docker, REST APIs, CI/CD and cloud platforms
  .
• Monitor production AI systems for performance, latency, model quality and drift.
• Collaborate with AI, data, engineering and product teams to turn complex requirements into working AI capabilities.

We are specifically looking for candidates who can demonstrate:

Experience across a combination of:

Python | Lang Chain | Lang Graph | Llama Index | Hugging Face Transformers | PEFT | LoRA | QLoRA | RAG | Vector Databases | PyTorch | Tensor Flow | REST APIs | Docker | CI/CD | AWS | Azure | GCP