Senior AI Engineer

Themathcompany; Pune District; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Themathcompany is seeking a Senior AI Engineer to design and deploy scalable AI solutions with a focus on Generative AI, LLMs, RAG, and embeddings. You will build end-to-end AI/ML systems, work with Databricks and cloud platforms, and expose APIs via Python.

You will collaborate with stakeholders, mentor teammates, and develop reusable AI frameworks while ensuring robust architecture and performance at scale.

Qualifications

• 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.

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.

Skills

LLMs

RAG

Embeddings

Python

SQL/NoSQL

System design

Problem-solving

Tools

Databricks

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Job description

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