Role Overview

As a Software Engineer II, AI/ML, you will design, build, and deploy Generative AI and machine learning solutions that power enterprise applications - from intelligent assistants and RAG-based systems to agentic workflow automation - working across the full AI pipeline from data ingestion to production inference.

Key Responsibilities

- Build Generative AI features for enterprise applications, including text generation, summarization, and RAG-based intelligent assistants
- Design and orchestrate multi-agent AI systems that automate complex workflows and decision-making
- Design, train, and deploy machine learning models to solve classification, regression, NLP, and other business problems
- Own AI pipelines end-to-end, from data ingestion through model inference and serving
- Evaluate and monitor model and agent performance in production, iterating based on results
- Write clean, scalable, production-ready code and maintain source control and CI/CD workflows
- Partner with cross-functional teams in an Agile/Scrum environment to ship AI capabilities

Desired Experience

Generative AI & LLM Applications

- Experience developing Generative AI solutions using large language models (LLMs) for enterprise use cases such as text generation, summarization, and Retrieval-Augmented Generation (RAG)
- Experience building intelligent assistants and conversational AI applications powered by LLMs
- Familiarity with vector databases for RAG retrieval, such as AWS OpenSearch, pgVector, or Databricks AI Search

Agentic AI & Orchestration

- Experience implementing Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipelines

- Hands-on experience with LangChain and LangGraph for orchestration and agentic workflow development

- Experience using Pydantic AI for structured data validation and AI model integration

Machine Learning

- Experience designing, building, and deploying machine learning models for classification, regression, NLP, and other AI use cases

- Hands-on experience with Scikit-learn, NumPy,



Pandas, PyTorch, and TensorFlow/Keras

AI Pipelines & Evaluation

- Experience building and maintaining AI pipelines spanning data ingestion, model inference, and serving

- Familiarity with evaluation and observability tools such as LangSmith, MLflow, or Weights & Biases

- Familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AI

Software Engineering & Tools

- Experience writing clean, scalable, production-ready code in Python

- Experience using VS Code or similar IDEs, and leveraging AI coding tools such as GitHub Copilot and Claude Code to accelerate development productivity

- Experience managing source code, branching strategies, and CI/CD workflows using GitHub

Collaboration & Process

- Experience collaborating with cross-functional teams following Agile/Scrum methodologies

Valuable to Have

- Experience developing and managing data pipelines, ML workflows, and AI applications on the Databricks platform

- Experience building or contributing to internal AI-powered web applications using ReactJS

Required Qualifications

- Bachelors Degree in Computer Science, Mathematics, or a related field, with 3+ years of progressively responsible experience in an IT technical role

- Experience developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras

- Experience working on GenAI and Agentic frameworks such as LangChain, LangGraph, Pydantic AI, LlamaIndex

- Familiarity with LLM platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI

How We Work

Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer - II, AI/ML (Hyderabad)
🏢 Bristol-Myers Squibb
📍 Hyderabad