Senior AI Engineer
Summary
Senior AI Engineer designing and deploying end-to-end, scalable AI/ML solutions with a focus on Generative AI (LLMs, RAG, embeddings, prompt engineering), building Python/FastAPI APIs, optimizing SQL databases, and deploying via Docker/Kubernetes on Databricks and AWS/Azure/GCP.
Role Overview
We are looking for a Senior AI Engineer to design and deploy scalable AI solutions, with a strong focus on Generative AI (LLMs, RAG, embeddings).
Key Responsibilities
- Build and deploy end-to-end AI/ML solutions
- Develop Generative AI systems (LLMs, RAG, prompt engineering)
- Design scalable data and AI architectures
- Work with Databricks, cloud platforms (AWS/Azure/GCP)
- Develop APIs using Python (FastAPI)
- Deploy using Docker & Kubernetes
- Optimize SQL/DB performance
- Collaborate with stakeholders and mentor team members
- Build reusable AI frameworks
Required Skills
- 4.5-7 years in AI/ML development
- Strong expertise in LLMs, RAG, embeddings
- Experience with Python, SQL/NoSQL
- Hands-on with Databricks
- Knowledge of Docker, Kubernetes, CI/CD
- Cloud experience (AWS/Azure/GCP)
- Strong system design & problem-solving skills
