AI Developer; RAG + LLM + MLOps

We are looking for a highly skilled AI Developer to join our team and help build the next generation of intelligent, automated, and scalable digital systems.

You will design and develop LLM-based pipelines, optimize model performance, and ship real production‑grade AI features used by thousands of users.

• Develop, fine‑tune, and optimize ML/LLM models using PyTorch, Tensor Flow, and Hugging Face.
• Design RAG pipelines using Lang Chain, Llama Index, and advanced vector databases (Faiss, Milvus, Pinecone).
• Integrate AI capabilities into real‑world applications (APIs, microservices, and automation systems).
• Build and maintain ETL workflows using Airflow or Prefect.
• Optimize inference with ONNX Runtime, Tensor
  
  RT, quantization, and model distillation.
• Deploy and scale models using Docker, Kubernetes, and cloud AI platforms (AWS/GCP/Azure).
• Collaborate with product and engineering teams to deliver high‑impact features.

• Experience with LLM agents, multi‑modal models, or reinforcement learning.
• Experience building AI automations using n8n or similar.
• Strong background in model optimization (quantization, pruning).

• Strong proficiency in Python.
• Experience with PyTorch / Tensor Flow / Hugging Face.
• Hands‑on experience with RAG, embeddings, vector DBs.
• Familiarity with Lang Chain, Llama Index, ChatGPT OSS, or similar frameworks.
• Experience with Docker, Kubernetes, CI/CD, and cloud deployment.
• Solid understanding of data engineering and workflow orchestration (Airflow / Prefect).