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Senior AI Engineer

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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

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