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American Psychological Association

AI Engineer

American Psychological Association

AI Engineer responsible for designing and building agentic AI workflows at APA. Collaborating with stakeholders to deliver high-quality AI systems with a focus on safety and reliability.

Posted 6/2/2026full-timeRemote • District of Columbia, Washington • 🇺🇸 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, circuit breakers, and guardrails
  • Enable workflow automation and integration by identifying high-value repetitive processes
  • Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks
  • Collaborate cross-functionally with product/business stakeholders to validate outcomes against measurable success criteria
  • Other duties as assigned.

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
  • Experience deploying and operating services on AWS
  • Strong hands-on delivery experience building and operating production Python services
  • 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
  • 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
  • And more.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonGenerative AIagentic solutionsRAG systemsAWSCI/CDoperational best practicesagent frameworksvector storessemantic search
Soft Skills
clear communicationcollaborative mindsetdelivery-oriented mindset
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in EngineeringBachelor’s degree in Information Systems