AI Engineer

American Psychological Association

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

Posted 10/8/2026full-timeRemote • 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 effective collaboration with stakeholders to enhance operational efficiency.

Highest-signal resume keywords

Generative AI SolutionsAWS DeploymentFull-Stack DevelopmentAgent FrameworksQuality Metrics Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAngularNode.jsTypeScriptRAG SystemsCI/CDAPI DevelopmentVector StoreTool Calling DesignLogging and Monitoring

Soft Skills

Clear CommunicationCollaborative MindsetDelivery-Oriented

Tools & Technologies

AWS LambdaAWS ECSAWS EKSOpenSearchPineconePgvectorLangChainLangGraphCrewAI

Industry Keywords

Agentic ApplicationsWorkflow AutomationResponsible AIOperational EfficiencyData Access Controls

Tech Stack

Tools & technologies

AngularAWSNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Design and build agentic AI applications that carry out multi-step tasks with explicit tool boundaries, permissions, and safety controls
Build and maintain RAG solutions end-to-end, including ingestion, embeddings, retrieval, and generation
Define quality metrics for agents and retrieval, and iterate 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 into 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 deliverables and validate measurable outcomes
Provide advisory support on improving operational efficiency with 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 building production grade Generative AI solutions (agentic applications and/or RAG)
Hands-on experience taking agentic applications and RAG systems to production, with deep expertise in at least one and solid working knowledge of the other
Experience building and shipping production services and APIs on AWS
Full-stack delivery using Angular and Node/TypeScript
Familiarity with CI/CD and standard operational practices
Advanced Python for backend/AI service development
Practical experience with at least one agent framework, such as LangChain, LangGraph, or CrewAI
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 agent task success measures
Working knowledge of AWS deployment using serverless and/or containers, with logging, monitoring, and alerting
Familiarity with responsible/secure AI basics, least privilege, data access controls, and guardrails
Git-based source control and CI/CD with reliable release and rollback practices
Clear communication and a collaborative, delivery-oriented mindset
Qualified candidates must attach a resume and cover letter specifying salary expectations
Final candidates must successfully complete a background check

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