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