Senior AI Engineer for Production Solutions

Groundswell; Hawaii; On-site; USD 150,000 - 205,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

Flexible Spending Account

4% 401K Match (immediate vesting)

Paid Time Off

Tuition reimbursement, certification,

Job summary

Groundswell is seeking an experienced engineer to translate ambiguous business problems into AI-driven solutions. The role is client-facing and hands-on, requiring you to work with stakeholders to assess workflows, design approaches, build, demonstrate, and deploy AI capabilities in production.

You will balance innovation with practical constraints across discovery, build, and operations. You will operate at the intersection of modern AI capability, production engineering, and effective

Qualifications

• 7+ years building and shipping production software.
• At least 2 years building apps integrating LLMs, prompt engineering, retrieval-augmented generation, structured extraction, tools, and agent patterns.
• Experience evaluating AI system quality, building test sets, defining metrics, and deployment decisions.

Responsibilities

• Lead discovery with business and technical stakeholders to understand the workflow, the decision being supported, and the current standard for acceptable results.
• Define measurable success criteria before building, including accuracy targets, human review thresholds, acceptance conditions, and the definition of failure.
• Recommend against AI when a simpler solution is the right one.
• Select the AI pattern appropriate to the problem, such as extraction, classification, summarization, retrieval, or an agentic workflow.
• Make and defend architecture decisions on where a workload should run, weighing quality, cost, latency, security, and authorization constraints.
• Build the complete capability including prompt/retrieval design, structured outputs, tool definitions, API integration, data handling, error states, and UI.
• Build evaluation sets from real data and measure against them, iterating based on results.
• Determine when a capability is ready for deployment, and identify when it is not.
• Operationalize capabilities in the client environment with governance, logging, and traceability.
• Produce clear documentation covering what the solution does, its limitations, validation, and handling of incorrect results.
• Monitor quality, cost, latency, and drift after launch and optimize as better options arise.
• Set direction beyond client articulation with working proof and roadmap support.
• Mentor engineers to raise the team's judgment and output.
• Contribute reusable patterns back to the team to avoid starting from scratch.
• Move between client delivery, internal product work, rapid POCs, and enablement as needed.

Skills

Production software development

AI integration

Python/TypeScript/SQL

APIs and data handling

Requirements gathering

Stakeholder communication

Mentoring engineers

Client-facing exposure

Architecture decisions

Education

Master's degree in Data Science, Mathematics, CS, or related field

Tools

AWS Bedrock

Azure OpenAI

Appian

OutSystems

Mendix

Microsoft Power Platform

ServiceNow

Salesforce

Job description

Groundswell is seeking an experienced engineer to translate ambiguous business problems into AI-driven solutions. The role is client-facing and hands-on, requiring you to work with stakeholders to assess workflows, design approaches, build, demonstrate, and deploy AI capabilities in production.

You will balance innovation with practical constraints across discovery, build, and operations. You will operate at the intersection of modern AI capability, production engineering, and effective