Job highlights

- 4.5-7 years AI/ML experience with expertise in LLMs, RAG, embeddings, Python, Databricks, Docker, Kubernetes, and cloud platforms

- Design and deploy scalable AI/ML solutions including generative AI systems, develop APIs, optimize databases, and mentor team members

Role Overview

We are looking for a Senior AI Engineer to design and deploy scalable AI solutions, with a solid 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

📌 Senior AI Engineer (Pune)
🏢 TheMathCompany
📍 Pune