> Markdown version of [/jobs/ext/3670072-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3670072-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** American Psychological Association
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Build Automation, Information Systems, Continuous Integration, Python (Programming Language), Node.Js, Role-Based Access Control, Service Development Studio, Software Engineering, TypeScript, Data Logging, Pinecone, LangChain, Retrieval-Augmented Generation, Technical Debt, Generative AI, Backend, Git, Build Management, Pgvector, AI Platforms, AngularJS, Information Technology, CrewAI, Software Version Control, Serverless Computing, OpenSearch
- **Published:** October 10, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88572897/1

## About the Role

* 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.
 * Built and shipped production services and APIs on AWS, with attention to reliability, latency, and cost.
 * Comfortable with full-stack delivery using Angular and Node/TypeScript to expose AI capabilities to users.
 * Familiar with CI/CD and standard operational practices (automated builds/releases, monitoring, alerting).

Technical Skills Required:

 * Advanced Python for backend/AI service development, plus Angular/Node (TypeScript) for full-stack delivery.
 * Practical experience with at least one agent framework (e.g., LangChain, LangGraph, CrewAI) and safe tool calling design (clear tool boundaries, permissions, validation).
 * Solid understanding of RAG: chunking, embeddings, retrieval, and basic reranking, with at least one vector store (e.g., OpenSearch, Pinecone, pgvector).
 * Ability to evaluate and improve AI systems using practical quality signals, agent task success and to catch regressions.
 * Working knowledge of AWS deployment (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.

## Description

* 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.

Other Duties as Assigned:

 * Provide advisory support to stakeholders on opportunities to improve operational efficiency using agentic workflows and RAG-enabled automation.
 * Research and recommend emerging AI tooling, evaluation methods, and responsible AI practices that reduce technical debt and improve system quality over time.