Associate Applied AI Engineer

Groundswell

. Take a defined technical approach and build it into production-quality functionality .

Posted 9/21/2026full-timeRemote • United StatesJuniorMid-Level💰 $88,177 - $171,637 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building applications that integrate AI capabilities, particularly with large language models, while effectively communicating with stakeholders to understand requirements and deliver solutions. Proficient in API integration, data handling, and user-facing functionality, with a strong focus on evaluation and improvement of AI-driven applications.

Highest-signal resume keywords

Application DevelopmentLarge Language Model IntegrationAPI IntegrationData HandlingClient-Facing Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptSQLPrompt EngineeringRetrieval-Augmented GenerationStructured ExtractionEvaluation Set BuildingError HandlingAI Capabilities IntegrationLow-Code Development

Soft Skills

Clear CommunicationProblem-SolvingAdaptabilityCritical ThinkingCollaboration

Tools & Technologies

AWS BedrockAzure OpenAIAppianOutSystemsMendixMicrosoft Power PlatformServiceNowSalesforce

Certifications & Qualifications

U.S. CitizenshipFederal Government Background Investigation

Industry Keywords

Public SectorRegulated IndustryConsultingSolutions EngineeringProfessional Services

Tech Stack

Tools & technologies

AWSAzureCloudOpen SourcePythonServiceNowSQLTypeScript

About the role

Key responsibilities & impact

Take a defined technical approach and build it into production-quality functionality
Participate in requirements discussions with business stakeholders to understand workflows, business needs, and desired outcomes
Contribute ideas and alternative approaches during solution design
Identify opportunities to simplify solutions or reduce the AI component where appropriate
Build complete applications integrating 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, and accurately report findings
Investigate failures, characterize causes, and implement fixes
Support client demonstrations and proof-of-concepts
Seek feedback and build understanding of client needs and AI best practices
Instrument and document work, including logging, traceability, intended behavior, known limitations, validation methods, and failure handling
Move between client delivery, internal product work, rapid proofs of concept, and internal enablement
Raise blockers, unclear requirements, and untrusted results early
Contribute reusable patterns, prompts, and evaluation harnesses to the team

Requirements

What you’ll need

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, 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 and 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
Ability to obtain and maintain any federal government background investigation, suitability determination, or security clearance required by assigned client engagements
Prior client-facing work in consulting, solutions engineering, professional services, or implementation
Experience with a low-code or application platform such as Appian, OutSystems, Mendix, Microsoft Power Platform, ServiceNow, or Salesforce
Public sector or regulated-industry delivery experience
Experience with cloud AI services such as AWS Bedrock or Azure OpenAI
Familiarity with LLM evaluation or observability tooling
Personal or open source projects involving language models, agents, retrieval, or evaluation

Benefits

Comp & perks

Comprehensive medical, dental, and vision plans
Flexible Spending Account
4% 401K Match (immediate vesting)
Paid Time Off
Tuition reimbursement, certification programs, and professional development
Flexible work schedule
On-site gym and childcare option