Software Engineer

Brooksource is seeking a highly skilled AI Engineer to support an AI & Innovation team focused on designing and delivering scalable, production‑ready AI solutions for healthcare and life sciences. This role emphasizes Agentic AI, agent orchestration, and Large Language Models (LLMs), with a focus on embedding responsible, secure, and compliant AI capabilities into enterprise healthcare workflows.

Responsibilities:

• Design, prototype, and deploy Generative AI applications using Retrieval‑Augmented Generation (RAG), prompt engineering, fine‑tuning, and vector search
• Build and maintain Python‑based APIs and software components to support AI services and ensure scalable, production‑grade solutions
• Develop multi‑step, agentic workflows for reasoning, task execution, and orchestration using frameworks such as LangChain, LangGraph, and LlamaIndex
• Integrate AI capabilities into healthcare and pharmacy services workflows, including case management, program operations, analytics, and internal knowledge systems
• Deploy, monitor, and optimize GenAI models and pipelines using cloud‑native tooling, orchestration frameworks, and MLOps best practices
• Contribute to AI platform and reference architecture across cloud environments, including Microsoft Azure and Google Cloud Platform (GCP)
• Collaborate with cross‑functional teams to ensure AI solutions meet security, privacy, and compliance requirements such as HIPAA, PHI handling, and responsible AI principles
• Document designs, patterns, and best practices to support enterprise reuse and long‑term platform sustainability

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
• 5+ years of professional software engineering experience with strong proficiency in Python
• 2+ years of hands‑on experience building GenAI or LLM‑based applications in real‑world or enterprise environments
• Experience designing and implementing agentic or multi‑step AI workflows using orchestration frameworks such as LangGraph or similar
• Strong understanding of retrieval pipelines, embeddings, vector databases, prompt engineering, and LLM APIs
• Experience deploying AI solutions in cloud environments (Azure and/or GCP)
• Familiarity with secure application development and enterprise integration patterns
• Experience working in healthcare, life sciences, pharmacy services, or other regulated industries
• Knowledge of HIPAA, PHI data handling, and secure AI design in compliance‑driven environments
• Exposure to responsible AI practices, model monitoring, and governance in enterprise settings
• Experience supporting internal business users such as care teams, case managers, analytics teams, or program operations