Senior AI Software Engineer

General Dynamics Information Technology

. Build and deploy LLM-based applications and agents, including APIs, backend services, tool calling, structured outputs, and multi-step workflows .

Posted 10/27/2026full-timeRemote • United StatesSenior💰 $129,813 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying LLM-based applications and agents, with a strong focus on backend services, APIs, and cloud deployment. Proficient in collaborating with technical and non-technical stakeholders to deliver secure AI capabilities in regulated environments.

Highest-signal resume keywords

LLM Application DevelopmentPython ProgrammingCI/CD DeploymentAgent Frameworks ExperiencePublic Trust Eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM Application DevelopmentPython ProgrammingAPIsBackend ServicesAutomated TestingCloud Application DeploymentDebuggingContainerizationInfrastructure as CodeModel Fine-Tuning

Soft Skills

MentoringCollaborationTechnical DocumentationStakeholder Communication

Tools & Technologies

LangGraphLangChainOpenAIAnthropicGoogle AIAzure AIAmazon BedrockTerraformLangSmithLangfuse

Certifications & Qualifications

AWS CertificationsPublic Trust Eligibility

Industry Keywords

Federal Cloud EnvironmentHealthcare ComplianceRegulated EnvironmentsScientific Research Support

Tech Stack

Tools & technologies

AWSAzureCloudPythonTerraform

About the role

Key responsibilities & impact

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 using 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, AI-action approval steps, and federal authorization documentation
Produce technical documentation, architecture diagrams, deployment procedures, and operational runbooks
Advise technical and non-technical stakeholders on tradeoffs and recommended approaches
Mentor other engineers
Collaborate with developers and government stakeholders to deliver secure, reliable AI capabilities in a federal cloud environment

Requirements

What you’ll need

Bachelor's degree or equivalent experience
7+ years of professional software engineering, including 1+ year building LLM-based applications; or 5+ years of AI or ML application development, including 2+ years with LLMs
At least one LLM application built and supported in production beyond a simple chat interface
Experience with agent frameworks such as LangGraph, LangChain, Strands Agents, or CrewAI
Strong Python skills, including APIs, backend services, 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 cloud applications with containers and CI/CD
Ability to obtain and maintain a Public Trust
NACLC (T3) public trust requirement
US Citizenship is not required
Preferred: LLM evaluation, tracing, and prompt versioning tools such as LangSmith, Langfuse, or Ragas
Preferred: Model Context Protocol (MCP) server development and integration
Preferred: AWS, Amazon Bedrock or Bedrock AgentCore, or relevant AWS certifications
Preferred: Fine-tuning or customizing foundation models; knowledge bases and vector stores
Preferred: Infrastructure as code with Terraform
Preferred: Containerized microservice architectures
Preferred: Experience supporting scientific research, federal government, healthcare, or similarly regulated environments

Benefits

Comp & perks

Medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with pre-tax and post-tax contributions and company match
Full flex work weeks where possible
Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave
Typically 15 days of paid leave per calendar year
10 paid holidays per year
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance