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

📌 AI/ML Engineer (Pune)
🏢 i-Qode Digital Solutions Private
📍 Pune