Bristol Myers Squibb

SoftwareEngineerII-AIML

India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Engineer II - AIML at Bristol Myers Squibb. Skills: Generative AI, large language models (LLMs), Agentic AI systems, machine learning models, Python, LangChain, LangGraph, Pydantic AI. Develop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation, summarization, RAG (Retrieval-Augmented Generation), and intelligent assistants. Implement Agentic AI systems using multi-agent frameworks to automate complex workflows and decisi”

Industry & Context.

Eligibility Requirements

ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function

What They're Looking For.

Must Have

4+ years of progressively responsible experience in an IT technical role, Experience in developing and deploying ML solutions using core libraries and frameworks including Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras etc, Experience working on GenAI & Agentic Frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex etc, Familiarity with LLM platforms like Azure OpenAI, AWS Bedrock, Google Vertex AI etc

Nice to Have

Develop and manage data pipelines, ML workflows, and AI applications on the Databricks platform, Build or contribute to internal AI-powered web applications using ReactJS

What You'll Do.

Develop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation

RAG (Retrieval-Augmented Generation)

and intelligent assistants

Implement Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipeline

and deploy machine learning models for classification

and other AI use cases

Build and maintain AI pipelines from data ingestion through model inference and serving

Leverage evaluation tools and platforms (e.g.

production-ready code in Python

Build AI applications using frameworks and libraries including: LangChain and LangGraph for orchestration and agentic workflows

Pydantic AI for structured data validation and AI model integration

Use VS Code or similar IDEs and leverage AI coding tools such as GitHub Copilot

and similar assistants to accelerate development productivity

and CI/CD workflows using GitHub

Collaborate with team members following Agile/Scrum methodologies

How You'll Work.

Team & Collaboration

Collaborate with team members following Agile/Scrum methodologies

Process & Methodology

Agile/Scrum methodologies

Full Job Description

**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). **_Responsibilities_** * Develop Generative AI solutions leveraging large language models (LLMs) for enterprise applications including text generation, summarization, RAG (Retrieval-Augmented Generation), and intelligent assistants * Implement Agentic AI systems using multi-agent frameworks to automate complex workflows and decision-making pipeline. * Design, build, and deploy machine learning models for classification, regression, NLP, and other AI use cases Build and maintain AI pipelines from data ingestion through model inference and serving * Leverage evaluation tools and platforms (e.g., LangSmith, MLflow, Weights & Biases, or equivalent) * Write clean, scalable, production-ready code in Python * Build AI applications using frameworks and libraries including: LangChain and LangGraph for orchestration and agentic workflows, Pydantic AI for structured data validation and AI model integration * Use VS Code or similar IDEs and leverage AI coding tools such as GitHub Copilot, Claude Code, and similar assistants to accelera

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