AI Engineer

American Psychological Association

. Design and build agentic AI applications for multi-step tasks with explicit tool boundaries, permissions, and safety controls .

Posted 10/8/2026full-timeRemote • Washington • United StatesMid-LevelSenior💰 $113,500 - $174,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying agentic AI applications and RAG solutions, with a strong focus on AWS services, full-stack development using Angular and Node/TypeScript, and operational efficiency through automation. Proficient in evaluating AI systems and implementing quality metrics to ensure high-performance outcomes.

Highest-signal resume keywords

Generative AI SolutionsAWS DeploymentAngular/Node/TypeScript DevelopmentAgentic ApplicationsRAG Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Generative AIAWSAngularNodeTypeScriptPythonRAGCI/CDTool-Calling DesignVector Store

Soft Skills

Clear CommunicationCollaborative MindsetDelivery-Oriented

Tools & Technologies

AWS LambdaAWS ECSAWS EKSLangChainLangGraphCrewAIOpenSearchPineconePgvector

Certifications & Qualifications

Bachelor's Degree in Computer ScienceEngineeringInformation Systems

Industry Keywords

AI ApplicationsWorkflow AutomationOperational EfficiencyQuality MetricsSafe Tool-Calling

Tech Stack

Tools & technologies

AngularAWSNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Design and build agentic AI applications for multi-step tasks with explicit tool boundaries, permissions, and safety controls
Build and maintain end-to-end RAG solutions covering ingestion, embeddings, retrieval, and generation
Define quality metrics for agents and retrieval, and iterate based on results
Integrate tools and data sources via MCP or similar standard interfaces
Deliver Angular/Node interfaces and APIs for business teams
Deploy and operate AI services on AWS, including Lambda and ECS/EKS, with logging, monitoring, error handling, retries, fallbacks, and guardrails
Identify repetitive processes and deliver AI-driven workflow automation integrated with enterprise systems and platforms
Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks
Collaborate with product and business stakeholders to translate workflows into scoped deliverables and validate measurable outcomes
Advise stakeholders on improving operational efficiency through agentic workflows and RAG-enabled automation
Research and recommend emerging AI tooling, evaluation methods, and responsible AI practices
Perform other duties as assigned

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent practical experience considered
5–10 years of software engineering experience
1 to 2 years of experience building production-grade Generative AI solutions
Hands-on experience taking agentic applications and RAG systems to production
Deep expertise in at least one of agentic applications or RAG systems and solid working knowledge of the other
Experience building and shipping production services and APIs on AWS
Full-stack delivery experience using Angular and Node/TypeScript
Familiarity with CI/CD and operational practices including automated builds/releases, monitoring, and alerting
Advanced Python for backend/AI service development
Practical experience with at least one agent framework, such as LangChain, LangGraph, or CrewAI
Experience with safe tool-calling design, including tool boundaries, permissions, and validation
Understanding of RAG, including chunking, embeddings, retrieval, and basic reranking
Experience with at least one vector store, such as OpenSearch, Pinecone, or pgvector
Ability to evaluate and improve AI systems using practical quality signals and identify regressions
Working knowledge of AWS deployment using serverless and/or containers
Familiarity with responsible/secure AI basics, least privilege, data access controls, and guardrails
Git-based source control and CI/CD experience with reliable release and rollback practices
Clear communication and collaborative, delivery-oriented mindset
Ability to successfully complete a background check
Qualified candidates must submit a resume and cover letter specifying salary expectations

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
12 paid holidays
Family/Medical Leave
Tuition assistance
Employee Assistance Program (EAP)
Short- and long-term disability insurance