Associate Applied AI Engineer

Who Are We?

Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace?

Join us, where we'll make a greater impact together.

We are looking for an engineer who can take a technical approach and an incompletely defined business need and produce working software. This role will grow into defining both.

This is a hands‑on role, client‑facing role. You will work directly with business stakeholders to refine the requirements around a business need and build the result. Proposing a better approach when you see one is expected. Requirements definition becomes your responsibility early, and technical design follows as you develop.

The work spans client delivery, internal product development, rapid proofs of concept, and internal enablement. Some weeks are spent primarily building functionality and others in front of customers. We are looking for range rather than specialization.

Most customers do not yet have a clear picture of what AI can do for their work. Helping them develop one is part of this role.

• Take a defined technical approach and build it into production‑quality functionality.
• Participate in requirements discussions with business stakeholders to understand the workflow, business need, and desired outcome
• Contribute ideas and alternative approaches during solution design, including identifying opportunities to simplify the solution or reduce the AI component where appropriate.
• Contribute to building complete applications that integrate AI capabilities with prompt and retrieval design, structured outputs, tool and function definitions, API integration, data handling, error handling, and user‑facing functionality.
• Build evaluation sets from real data, measure results against them, and report findings accurately, including results that do not support the chosen approach.
• Investigate failures by identifying where a capability produced an incorrect result, characterizing the cause, and implementing a fix.
• Support client demonstrations and proof‑of‑conceptions to help customers understand how AI can be applied to their business challenges.
• Seek feedback, ask thoughtful questions, and continuously build your understanding of client needs and AI best practices.
• Instrument and document your work, including logging, traceability, intended behavior, known limitations, validation method, and failure handling.
• Move between client delivery, internal product work, rapid proofs of concept, and internal enablement as the work requires.
• Raise blockers, unclear requirements, and results you do not trust early rather than working around them.
• Contribute reusable patterns, prompts, and evaluation harnesses back to the team.

• Bachelor's degree in a technical field, or equivalent demonstrated ability.
• 1+ years of professional software development experience.
• Hands‑on experience building applications that integrate large language models, including prompt engineering, retrieval‑augmented generation, structured extraction, and/or tool use. Experience may be gained through professional work, internships, academic research, or significant personal/open‑source projects.
• Experience contributing to applications that integrate AI capabilities with APIs, data handling, and user‑facing functionality
• Familiarity with a general‑purpose language such as Python, Type Script, or SQL, with experience integrating APIs and working with imperfect data.
• Ability to conduct…