AI Engineer

🔥 16 hours ago

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Logo of American Psychological Association

American Psychological Association

501 - 1000 employees

Founded 1892

🤝 Non-profit

📚 Education

🔬 Science

Non-profit • Education • Science

American Psychological Association is a leading nonprofit professional organization that advances psychological science, practice, education, and public understanding to benefit society and improve lives. It publishes scholarly journals and APA Style resources, maintains extensive research databases, offers continuing education and accreditation, provides member services and networking, and advocates for psychology-informed policy and practice. APA also hosts conferences, issues standards and guidelines, and produces public-facing content on mental health, research, and professional development.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• Remote Work/Flexible Scheduling • 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 • Employee Assistance Program (EAP) • Short- and long-term disability insurance • Generous employee benefits program

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