AI Engineer

American Psychological Association

AI Engineer designing and building agentic AI workflows that automate multi-step business processes for the American Psychological Association. Collaborating with engineering and business stakeholders to ensure quality and reliability.

Posted 6/11/2026full-timeRemote • District of Columbia • 🇺🇸 United StatesMid-LevelSenior💰 $113,500 - $174,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Design and build agentic AI workflows that can plan and execute complex, multi-step tasks
Build and maintain RAG solutions end-to-end
Implement retrieval evaluation and continuous improvement loops
Integrate tools and data sources using MCP or equivalent standard interfaces
Deploy and operate AI services on AWS with strong operational practices
Engineer robust runtime behavior including error handling, retries, fallbacks
Enable workflow automation and integration by identifying high-value repetitive processes
Create and maintain technical documentation for architectures, interfaces, evaluation approaches
Collaborate cross-functionally with product/business stakeholders to translate workflows into well-scoped deliverables

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, Information Systems, or related field; equivalent practical experience considered
5+ years of core software engineering excellence in Python and cloud environments
At least 1–2 years of specialized, hands-on delivery of production-grade Generative AI and agentic solutions
Demonstrated experience designing or implementing agentic or tool-orchestrated AI workflows
Practical experience building RAG systems end-to-end
Strong hands-on delivery experience building and operating production Python services
Experience deploying and operating services on AWS
Experience with CI/CD and operational best practices for service delivery
Working expertise with agent frameworks/orchestration patterns
Strong understanding of RAG architecture and retrieval optimization
Experience with vector stores / semantic search technologies
Advanced proficiency in Python for backend/service development
Familiarity with responsible/secure AI patterns in enterprise contexts
Proficiency with AWS deployment patterns and operational readiness
Strong experience with Git-based source control and CI/CD pipelines
Clear communication skills and a collaborative, delivery-oriented mindset

Benefits

Comp & perks

Remote Work/Flexible Scheduling
401(k) option with employer match of up to 4%
Medical, dental, and vision insurance options
Outpatient mental health benefit
Paid personal/vacation time plus 12 paid holidays
Family/Medical Leave
Tuition assistance
Employee Assistance Program (EAP)
Short- and long-term disability insurance
Generous employee benefits program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonGenerative AIagentic solutionsRAG systemsCI/CDAWSvector storessemantic searcherror handlingworkflow automation

Soft Skills

clear communicationcollaborative mindsetdelivery-oriented mindset