Senior AI Software Engineer; LLM - Essex Management

Overview

Senior AI Software Engineer (LLM) - Essex Management

US Remote

Essex is a biomedical informatics and health information technology-focused consultancy founded in 2009 and headquartered in Rockville, MD. The Essex team comprises experts with extensive experience in strategically developing and managing complex health and biomedical information programs for clients in the Federal Government, research academia, and private sectors.

Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public‑private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.

We believe the work we do will have a direct impact on patients’ lives and act accordingly. We strive to build a collaborative culture at the intersection of being performance and people driven.

We’re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!

This is a senior AI Software Engineering role that works as part of the Modern Technology & Engineering (MT&E) team to bring advanced AI and computational modeling expertise to our precision oncology effort. The ideal candidate combines strong experience in retrieval augmented generation (RAG), deep learning, graph neural networks, natural language processing, complex algorithm development with large‑scale biomedical data integration with a strong understanding of clinical informatics.

As part of our Modern Technology & Engineering (MT&E) team, you will help design and develop scalable Agentic AI‑driven workflows, train Large Language Models (LLMs), and deliver actionable insights that accelerate cancer research and treatment strategies. The role provides a strong career growth opportunity in an innovative technology environment working in one of our nation’s premier research organizations.

• Strong communication skills (oral and written).
• Advanced experience coding in Python, Java, Ruby, or comparable programming languages.
• Expertise working with LLMs (e.g., Claude, ChatGPT).
• Strong experience working with platforms such as AWS Bedrock, to build GenAI and Agentic applications.
• Experience building enterprise software systems that run in AWS Cloud environment using technologies such as ECS, Lambda, SQS, SNS, S3, API Gateway, QLDB, Dynamo
  
  DB, Open Search, Aurora Postgre
  
  SQL, Neptune, Document
  
  DB, CDK.
• Experience developing software systems with backing relational and/or No
  
  SQL databases.
• Experience developing microservices with RESTful API, Graph
  
  QL, and/or gRPC to exchange data via JSON, XML, and other data exchange formats.
• Experience integrating with Okta and additional third‑party systems.
• Experience working in an Agile development environment such as SCRUM or Kanban.
• Experience using Git, Git Hub, and Git Hub Actions.
• 6+ years of software development experience in one or more programming languages and with data structures/algorithms.
• Possession of a Bachelor or Graduate degree in a technical field such as Computer Science from an accredited college or university (according to CHEA).

• 4-6 years of experience building enterprise software systems that run in a Production AWS Cloud environment.
• 3-5 years of working with a CI/CD pipeline using Git, Git Hub, and Git Hub Actions (or similar tools).
• Experience working with Lang Chain, Lang Graph, and knowledge graphs.
• Experience working in the clinical bioinformatics domain.
• Experience with container and orchestration technologies such as Docker and Kubernetes is a plus.
• Cloud development or architect certification is a plus.
• Experience with Google Cloud Platform (GCP) and Microsoft Azure is a plus.
• Experience working with AI coding assistants such as Git Hub Copilot or Claude Code.

At…