Applied AI Engineer - Build AI Solutions for Clients

Groundswell

Rhode Island

On-site

USD 88,000 - 172,000

Full time

2 days ago

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Benefits offered by this job

Medical plan

Dental plan

Vision plan

401K match

Paid time off

Tuition reimbursement

Flexible schedule

On-site gym

Job summary

Groundswell is seeking an engineer to translate incompletely defined business needs into production‑quality software. This client‑facing, hands‑on role involves refining requirements with stakeholders and delivering AI‑driven solutions.

You will contribute to AI‑enabled applications, provide technical alternative approaches, and document outcomes. You will work across client delivery, internal product work, rapid proofs of concept, and enablement, shaping solutions that leverage prompts,

Qualifications

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 contributing to applications that integrate AI capabilities with APIs, data handling, and user‑facing functionality
Familiarity with Python, TypeScript, or SQL, with experience integrating APIs and working with imperfect data.
Ability to conduct a requirements conversation with a non‑technical stakeholder, identify the underlying need, and return with a proposed approach.
Willingness to question a design, including one you have been given, and to make the case for an alternative.
Ability to work through ambiguous requirements with guidance, ask thoughtful questions, and drive assigned work to completion.
Clear written and verbal communication.
Candor about the limits of your knowledge and a willingness to ask rather than assume.
U.S. Citizenship required.

Responsibilities

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‑concepts 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.