Software Engineer - II, AI/ML

Bristol Myers Squibb; Hyderabad; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

Bristol Myers Squibb is seeking a Software Engineer II, AI/ML in Hyderabad to design, build, and deploy Generative AI solutions across enterprise apps. You will work on intelligent assistants, RAG-based systems, and workflow automation, spanning data ingestion to production inference.

The role requires hands-on experience with GenAI stacks, LangChain/LangGraph, and ML libraries, with collaboration in an Agile environment to deliver impactful AI capabilities.

Qualifications

• Bachelor's degree in CS/Math or related field with 3+ years in IT/ML roles.
• Experience developing ML/GenAI solutions with core libraries.
• Familiarity with GenAI platforms and agent-based orchestration.

Responsibilities

• Build Generative AI features for enterprise apps including text generation and summarization.
• Design multi-agent AI systems to automate workflows and decisions.
• Train, deploy, and monitor ML models for NLP and other business use cases.
• Own AI pipelines end-to-end from data ingestion to inference and serving.
• Collaborate with cross-functional teams in Agile/Scrum to ship AI capabilities.

Skills

Python

LLMs

Text generation

NLP

RAG

Education

Bachelor's in Computer Science/Math

Tools

LangChain

LangGraph

Pydantic AI

LlamaIndex

Job description

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

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

Good 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

• Bachelor's 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

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

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. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a j