Note: APA operates on a 37.5-hour work week with one-hour lunch breaks each day.
APA sets salaries based on several considerations, including years of relevant
experience, level of education, and previous staff and/or governance experience
at APA.
The AI Engineer role designs, builds, and operates agentic AI and
retrieval-augmented generation (RAG) services that automate multi-step business
workflows safely and reliably. The position partners with engineering and
business stakeholders to deliver deployable, observable AI systems with
measurable quality, strong guardrails, and ongoing iteration as tools and best
practices evolve.
Education and Experience Required:
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.
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.
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.
About APA:
The American Psychological Association (APA) represents 146,000 psychologists,
students, and affiliates, primarily in the U.S. and Canada but also in other
countries around the world. APA is a scientific and professional organization
with about 500 employees and is categorized as a 501(c)(3) along with its
501(c)(6) companion organization, APA Services, Inc.
APA offers a generous employee benefits program, including Remote Work/Flexible
Scheduling; a 401(k) option with employer match of up to 4%; medical, dental,
and vision insurance options and an outpatient mental health benefit; paid
personal/vacation time plus 12 paid holidays; Family/Medical Leave; tuition
assistance; an Employee Assistance Program (EAP); short- and long-term
disability insurance; and more.
Job Location: Remote: APA jobs may be considered for remote work eligibility as
defined in APA’s Flexible Work Policy and are subject to approval. Remote work
employees may not work from the following states or U.S. territories: Alaska,
California, Colorado, Guam, Hawaii, Iowa, Louisiana, Montana, Nebraska, New
York, North Dakota, Ohio, Puerto Rico, Rhode Island, U.S. Virgin Islands,
Washington, Wyoming.
Application Instructions:
Qualified candidates must apply online through APA’s applicant system
[http://bit.ly/1NJ8gy1] and attach a resume and cover letter specifying your
salary expectations. Applications that are submitted without both documents are
considered incomplete and will not be reviewed for consideration. Once your
application is submitted, you will receive a confirmation email. Please make
sure to check your Spam folder if you do not receive an email from us.
Final candidates will be required to successfully complete a background check as
a condition of employment. Any required consent forms and additional information
will be provided during the final stages of the hiring process.
The American Psychological Association is an Equal Employment Opportunity
Employer. All qualified applicants will receive consideration for employment
regardless of race, color, religion, sex, national origin, age, disability,
sexual orientation, gender identity or expression, marital status, personal
appearance, familial status, family responsibilities, matriculation, political
affiliation, genetic information, protected veteran status, or any other
characteristic protected under applicable federal, state, or local law.
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