
10,000+ employees
Founded 1954
đź Consulting
đĽ Healthcare
đŚ Logistics
Consulting ⢠Healthcare ⢠Logistics
General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.
đ Yesterday
đşđ¸ United States â Remote
đľ $129.8k - $172.5k / year
â° Full Time
đ Senior
đ§âđť Full-stack Engineer
đŚ H1B Visa Sponsor
đť Ghost score 0%
Where this job comes from
Posted on General Dynamics Information Technology's careers page, not through a job board
First seen by Remote Rocketship Yesterday
Still open on General Dynamics Information Technology's site. Checked 1 hour ago.

10,000+ employees
Founded 1954
đź Consulting
đĽ Healthcare
đŚ Logistics
Consulting ⢠Healthcare ⢠Logistics
General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.
⢠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
⢠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
⢠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
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