Software Engineer - II, AI/ML

At Bristol Myers Squibb, this Software Engineer II, AI/ML role designs, builds, and deploys Generative AI and machine learning solutions that power enterprise applications.

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

Requirements

• 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

• 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

• 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

• 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

• 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

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

• Bachelor's Degree in Computer Science, Mathematics, or a related field, with 3+ years of progressively responsible experience in an IT technical role

Preferred Qualifications

• 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