Description
As an AI Engineer at GDIT, you will play a crucial role in designing, prototyping, and integrating AI-enabled capabilities into an existing mission-critical tool.
Responsibilities:
- Lead the design and development of AI-driven solutions from conception to deployment, building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination.
- Integrate existing foundation models into the RAD architecture via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch.
- Design, test, and refine prompts and agent instructions to reliably automate manual tasks, and decompose complex mission workflows into discrete steps an agent pipeline can execute.
- Develop robust testing, evaluation, and validation strategies for AI-generated outputs, ensuring accuracy, consistency, and appropriate handling of edge cases before outputs reach analysts and reports.
- Collaborate with cross-functional teams including system engineers, software developers, and domain experts.
- Stay current with the rapidly evolving LLM and agentic AI landscape, continuously identifying practical opportunities to apply emerging capabilities to the system.
Requirements:
- 8+ years of related experience
- Bachelor of Arts/Bachelor of Science degree
- TS/SCI W/ Polygraph security clearance level
- US citizenship required
- Strong Python development skills, with experience writing production-quality, maintainable code
- Hands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)
- Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)
- Strong prompt engineering skills and experience evaluating/validating LLM outputs
- Experience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)
- Experience with the Amazon Web Services (AWS) cloud computing platform
Benefits:
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full flex work weeks where possible
- Paid parental, military, bereavement and jury duty leave
- Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
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