Engineer I, AI Agents
Aarp Foundation
Listing collected from Aarp Foundation's career site. NextChapter is independent of Aarp Foundation.
Washington, DC · Posted October 26, 2026
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About the job
Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin .
Information Technology Services is responsible for AARP enterprise-wide technology and information security functions. Services range from infrastructure design and operations, system and software lifecycle implementations, enabling the mobile workforce and protecting AARP network, systems and data. A variety of technologies and practices are used including cloud computing, automation, artificial intelligence and machine learning within highly collaborative Agile teams.
The Engineer I, AI Agents is a technical resource on a platform/capability team responsible for supporting the day-to-day design, implementation and operational activities of the team.
Responsibilities
Assisting the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services.
Maintaining code repositories and Git-based services, if applicable.
Writing code, leveraging third-party services, configuring systems, and implementing solutions in an agile way.
Collaborating with team to identify technical solutions for business and enterprise needs.
Developing technical knowledge and expertise related to domain area systems, solutions, services and applications.
Qualifications
Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience (including internships, academic projects, or self-directed learning).
1+ years experience and proficiency in one modern programming language (Python, JavaScript/TypeScript, C#, or Java), with the ability to read, debug, and extend existing codebases.
Familiarity with RESTful APIs, JSON, basic service integration patterns, and the ability to integrate with external data sources.
Foundational understanding of Generative AI and LLMs, including prompts, tokens, context limits, strengths, limitations, and common failure modes; experience designing and iterating on prompts and structured outputs (e.g., JSON/schema-based responses).
Hands-on exposure to LLM APIs or frameworks, including basic understanding of Retrieval-Augmented Generation (RAG), document ingestion, chunking, embeddings, and grounding responses with enterprise data.
Exposure to agent-based or multi-step AI systems, including tool/function calling, workflow orchestration concepts, human-in-the-loop patterns, and awareness of the need for guardrails, controlled workflows, and error handling.
Foundational understanding of cloud platforms (preferably Microsoft Azure), event-driven or trigger-based architectures, workflow automation tools (e.g., Power Automate, Power Apps), and basic logging, monitoring, and debugging practices.
Analytical and problem-solving skills, with the ability to structure ambiguous problems; demonstrated learning agility and curiosity; awareness of evaluating LLM outputs, data privacy, security, governance, and responsible AI principles.
A ARP will not sponsor an employment visa for this position at this time.
Additional Requirements
Regular and reliable job attendance.
Effective verbal and written communication skills.
Exhibit respect and understanding of others to maintain professional relationships.
Independent judgement in evaluation options to make sound decisions
In office/open office environment with the ability to work effectively surrounded by moderate noise
Compensation and Benefits
AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.
Assisting the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services.
Maintaining code repositories and Git-based services, if applicable.
Writing code, leveraging third-party services, configuring systems, and implementing solutions in an agile way.
Collaborating with team to identify technical solutions for business and enterprise needs.
Developing technical knowledge and expertise related to domain area systems, solutions, services and applications.
Bachelor’s or Master’s in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience (including internships, academic projects, or self-directed learning).
1+ years experience and proficiency in one modern programming language (Python, JavaScript/TypeScript, C#, or Java), with the ability to read, debug, and extend existing codebases.
Familiarity with RESTful APIs, JSON, basic service integration patterns, and the ability to integrate with external data sources.
Foundational understanding of Generative AI and LLMs, including prompts, tokens, context limits, strengths, limitations, and common failure modes; experience designing and iterating on prompts and structured outputs (e.g., JSON/schema-based responses).
Hands-on exposure to LLM APIs or frameworks, including basic understanding of Retrieval-Augmented Generation (RAG), document ingestion, chunking, embeddings, and grounding responses with enterprise data.
Exposure to agent-based or multi-step AI systems, including tool/function calling, workflow orchestration concepts, human-in-the-loop patterns, and awareness of the need for guardrails, controlled workflows, and error handling.
Foundational understanding of cloud platforms (preferably Microsoft Azure), event-driven or trigger-based architectures, workflow automation tools (e.g., Power Automate, Power Apps), and basic logging, monitoring, and debugging practices.
Analytical and problem-solving skills, with the ability to structure ambiguous problems; demonstrated learning agility and curiosity; awareness of evaluating LLM outputs, data privacy, security, governance, and responsible AI principles.
A ARP will not sponsor an employment visa for this position at this time.
Additional Requirements
Regular and reliable job attendance.
Effective verbal and written communication skills.
Exhibit respect and understanding of others to maintain professional relationships.
Independent judgement in evaluation options to make sound decisions
In office/open office environment with the ability to work effectively surrounded by moderate noise
Compensation and Benefits
AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.