Location - Hinjewadi, Pune. Jayanagar, Bangalore

Three Technical rounds of interview and one round will be F2F

AI/ML Engineer

Experience
4–6 years of overall experience in software development, data engineering, AI/ML, or analytics
2 years of hands-on experience in AI/ML and/or Generative AI solutions

Role Summary

Design, develop, and deploy AI-powered applications and solutions leveraging Machine Learning, Generative AI, and Agentic AI solutions. Work closely with architects, data scientists, and business stakeholders to build scalable, secure, and production-ready AI systems.

Key Responsibilities

AI Solution Development
Develop and implement AI/ML, Generative AI & Agentic solutions for business use cases.
Build applications using LLMs, RAG, AI Agents, copilots, and intelligent automation frameworks.
Support model development, evaluation, deployment, and monitoring activities.

Data & AI Engineering
Build and maintain data pipelines, embeddings pipelines, and vector databases.
Prepare, transform, and validate data for AI/ML workloads.




Integrate AI services with enterprise applications and APIs.

Platform & Operations
Support MLOps and LLMOps processes including deployment, monitoring, and performance optimization.
Develop reusable components, prompts, workflows, and AI accelerators.
Contribute to AI platform enhancements and automation initiatives.

Collaboration & Innovation
Work with cross-functional teams to define requirements and deliver AI solutions.
Evaluate emerging AI technologies, models, and frameworks.
Follow AI governance, security, and Responsible AI guidelines.

Required Skills
Python and software development fundamentals
Machine Learning, NLP, and data analytics concepts
LLMs, Prompt Engineering, RAG, and AI Agent frameworks
LangChain, LangGraph, LlamaIndex, or similar frameworks
SQL, APIs, and data integration
Docker, Git, CI/CD fundamentals
AWS, Azure, or GCP exposure

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