Remote AI Engineer: Agentic AI & RAG Solutions

American Psychological Association; Washington (District of Columbia); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work eligibility

Job summary

The American Psychological Association seeks an AI Engineer to design, build and operate agentic AI and RAG services that automate multi-step workflows safely and reliably. You will partner with engineering and business stakeholders to deliver observable AI systems with guardrails and measurable quality.

Candidates bring 5–10 years of software engineering, a CS-related degree, hands-on production experience with agentic apps and RAG, and proficiency in Python, Angular/TypeScript, and AWS

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent practical experience considered.
• 5–10 years of software engineering, including 1 to 2 years of building production grade Generative AI solutions (agentic applications and/or RAG).
• Hands‑on experience taking both agentic applications (multi‑step, tool‑calling) and RAG systems (retrieval → generation) to production, with deep expertise in at least one and solid working knowledge of the other.

Responsibilities

• Design and build agentic AI applications that carry out multi‑step tasks, with explicit tool boundaries, permissions, and safety controls for predictable behavior.
• Build and maintain RAG solutions end‑to‑end (ingestion, embeddings, retrieval, generation), tuned for relevance, latency, and reliability.
• Define practical quality metrics for agents (task success, tool‑call correctness) and retrieval (relevance, coverage) and iterate on the results.
• Integrate tools and data sources via MCP or similar standard interfaces for secure, reusable access.
• Deliver Angular/Node interfaces and APIs that make agentic and RAG capabilities usable by business teams.
• Deploy and operate AI services on AWS (e.g., Lambda, ECS/EKS) with sound logging, monitoring, and error handling (retries, fallbacks, guardrails).
• Enable workflow automation and integration by identifying high‑value repetitive processes and delivering AI‑driven automation layers that integrate into enterprise systems and platforms.
• Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks to support maintainability and auditability.
• Collaborate cross‑functionally with product/business stakeholders to translate workflows into well‑scoped deliverables and to validate outcomes against measurable success criteria.
• Other duties as assigned.

Skills

Advanced Python

Angular/Node TS

CI/CD

AWS

Agent frameworks

RAG basics

Tool calling safety

Git

Communication

Education

Bachelor's degree in CS/Engineering or related field

5–10 years software engineering

Production-grade Generative AI experience

Tools

OpenSearch

Pinecone

pgvector

Job description

The American Psychological Association seeks an AI Engineer to design, build and operate agentic AI and RAG services that automate multi-step workflows safely and reliably. You will partner with engineering and business stakeholders to deliver observable AI systems with guardrails and measurable quality.

Candidates bring 5–10 years of software engineering, a CS-related degree, hands-on production experience with agentic apps and RAG, and proficiency in Python, Angular/TypeScript, and AWS