AI Engineer at APA Immigration Resource Centre

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

174000.0

Posted On

13 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud Environments, Generative AI, Agentic Solutions, RAG Systems, Vector Search, Production Python Services, AWS, CI/CD, LangChain, CrewAI, AutoGen, Vector Stores, Observability, Responsible AI, Git

Industry

Non-profit Organizations

Description

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. This 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 (level of education required, specific experience needed, e.g. budget, supervision, experience in industry): * Bachelor’s degree in computer science, Engineering, Information Systems, or related field; equivalent practical experience considered. * 5+ years of core software engineering excellence in Python and cloud environments, including at least 1–2 years of specialized, hands-on delivery of production-grade Generative AI and agentic solutions. * Demonstrated experience designing or implementing agentic or tool-orchestrated AI workflows (multi-step execution, tool calling/function calling, reliability patterns). * Practical experience building RAG systems end-to-end (ingestion → chunking → embeddings → retrieval → generation), including vector search/semantic retrieval concepts and tuning for relevance/latency. * Strong hands-on delivery experience building and operating production Python services (APIs, testing, packaging, performance, reliability). * Experience deploying and operating services on AWS, making sound choices for availability, latency, and cost. * Experience with CI/CD and operational best practices for service delivery (build/release automation, environments, monitoring/alerting). Technical Skills Required (including level of expertise): * Working expertise with agent frameworks/orchestration patterns (e.g., LangChain, CrewAI, AutoGen) and safe tool-calling designs (clear tool boundaries, permissions, validation). * Strong understanding of RAG architecture and retrieval optimization (chunking strategies, embedding selection, reranking, evaluation-driven tuning). * Experience with vector stores / semantic search technologies (e.g., OpenSearch, Pinecone, Weaviate, pgvector) and retrieval performance tuning. * Advanced proficiency in Python for backend/service development, including test practices and production troubleshooting. * Skilled in observability for AI systems (structured logging, tracing, metrics) and retrieval quality regressions. * Familiarity with responsible/secure AI patterns in enterprise contexts (least privilege, data access controls, guardrails, and risk-aware design). * Proficiency with AWS deployment patterns (serverless and/or containerized services) and operational readiness (monitoring, alerting, failure modes). * Strong experience with Git-based source control and CI/CD pipelines, plus reliable release and rollback practices. * Clear communication skills and a collaborative, delivery-oriented mindset. Responsibility (main responsibilities of the job. Must include ‘Other duties as assigned’, and may include responsibilities for financial authority, and, representing APA to members and outside organizations): * Design and build agentic AI workflows that can plan and execute complex, multi-step tasks using approved agent frameworks; ensure predictable behavior through explicit tool boundaries, permissions, and safety controls. * Build and maintain RAG solutions end-to-end, including ingestion pipelines, chunking/embedding approaches, retrieval strategies, and generation prompts—optimized for relevance, latency, and reliability. * Implement retrieval evaluation and continuous improvement loops by defining measurable quality signals (e.g., retrieval relevance/coverage) and iterating based on observed results and regressions. * Integrate tools and data sources using MCP (Model Context Protocol) or equivalent standard interfaces to provide consistent, secure tool access and reduce one-off integrations. * Deploy and operate AI services on AWS (e.g., Lambda, SageMaker, ECS/EKS) with strong operational practices: logging, monitoring, alerting, and well-understood failure modes. * Engineer robust runtime behavior including error handling, retries, fallbacks, circuit breakers, and guardrails to maintain safe, reliable workflows. * 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. The American Psychological Association is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, or any other protected categories covered under local law.

Responsibilities

The role involves designing, building, and operating agentic AI and Retrieval-Augmented Generation (RAG) services to automate multi-step business workflows safely and reliably. Responsibilities include engineering robust runtime behavior, deploying services on AWS with strong operational practices, and collaborating with stakeholders to deliver observable AI systems.