Senior AI Software Engineer

Clearance Level None Category Data Science and Data Engineering Location Remote, Working from the USA

Key Skills For Success Artificial Intelligence Software

Large Language Models (LLMs)

Machine Learning Methods

REQ#:RQ231399

Public Trust:NACLC (T3)

Requisition Type:Regular

Your Impact

Own your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.

Job Description

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GDIT is hiring a Senior AI Software Engineer to build AI applications and agents for the operations team and end users of the cloud platform that supports the National Institute of Allergy and Infectious Diseases (NIAID).

You will be the AI developer expert on a team of platform, DevOps, and security engineers, collaborating with other developers and government stakeholders to deliver secure, reliable AI capabilities in a federal cloud environment.

You will design, develop, and integrate software solutions that use large language models (LLMs), retrieval-augmented generation (RAG), vector databases, document processing, and AI agents. This includes an integrated AI assistant for end users and agents that automate platform operations and carry out approved tasks.

You will build new AI capabilities and improve existing services for performance, reliability, security, and user experience.

The ideal candidate is a hands-on software engineer who can work across the AI application stack, from backend development and model integration to data processing, automated testing, and deployment. This role requires a strong foundation in software engineering, Python development, API integration, containerization, and AI application architecture.

This role is fully remote!

This role requires you to obtain and maintain a Public Trust and to provide onsite fingerprinting at a designated facility. This investigation may review personal and criminal behavior, financial conduct, foreign influence, as well as other adjudications.

Responsibilities

• Build and deploy LLM-based applications and agents, including APIs, backend services, tool calling, structured outputs, and multi-step workflows.
• Build RAG and document processing pipelines covering ingestion, embeddings, vector search, and reranking.
• Build evaluation into every release with test datasets, regression tests, quality metrics, and human review.
• Work with platform and DevOps engineers to run solutions in production using CI/CD, containers, monitoring, and cost controls.
• Work with security engineers on access control, audit logging, PII handling, approval steps for AI actions, and federal authorization (ATO) documentation.
• Produce technical documentation, architecture diagrams, deployment procedures, and operational runbooks.
• Advise stakeholders, communicate technical tradeoffs and recommended approaches to technical and non-technical audiences, and mentor other engineers.

Required Qualifications

• Bachelor's degree or equivalent experience.
• One of the following:

+ 7+ years of professional software engineering, including 1+ year building LLM-based applications.

+ 5+ years of AI or ML application development, including 2+ years with LLMs.

• At least one LLM application built and supported in production that goes beyond a simple chat interface, such as tool calling, RAG, agents, or multi-step workflows.
• Experience with agent frameworks, such as LangGraph, LangChain, Strands Agents, or CrewAI.
• Strong Python skills, with experience building APIs and backend services, and with Git, automated testing, and code review.
• Experience with major model providers, such as OpenAI, Anthropic, Google, Azure AI, or Amazon Bedrock.
• Experience deploying and debugging applications in the cloud with containers and CI/CD.
• Ability to obtain and maintain a Public Trust.

Preferred Qualifications

• LLM evaluation, tracing, and prompt versioning tools (such as LangSmith, Langfuse, or Ragas).
• Model Context Protocol (MCP) server development and integration.
• AWS, including Amazon Bedrock or Bedrock AgentCore, or relevant AWS certifications (such as Solutions Architect Professional or Generative AI Developer Professional).
• Fine-tuning or customizing foundation models; knowledge bases and vector stores.
• Infrastructure as code (Terraform).
• Containerized microservice architectures.
• Supporting scientific research, federal government, healthcare, or similarly regulated environments.

#GDITFedHealthJobs

Work Requirements

Years of Experience

8 + years of related experience

• may vary based on technical training, certification(s), or degree

Certification

AWS Certified Generative AI Developer - Professional | Amazon Web Services (AWS) - Amazon Web Services (AWS)

Travel Required

None

Salary and Benefit Information

The likely salary range for this position is $129,813 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud.

By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our

Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.

We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity

Employer / Individuals with Disabilities / Protected Veterans