Engineer I, AI Agents

AARP • Washington, DC

12h • Onsite

About The Position

The Engineer I, AI Agents is a technical resource on a platform/capability team, supporting its day-to-day design, implementation, and operational activities. The role contributes to building and operating platform or capability systems, solutions, and services, while developing technical knowledge in the relevant domain. The position works collaboratively in an Agile environment and supports AARP’s enterprise technology and information security functions, which use cloud computing, automation, artificial intelligence, and machine learning.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience, including internships, academic projects, or self-directed learning.
• At least 1 year of 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 integrating 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 such as JSON/schema-based responses.
• Hands-on exposure to LLM APIs or frameworks, including a 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 guardrails, controlled workflows, and error handling.
• Foundational understanding of cloud platforms, preferably Microsoft Azure; event-driven or trigger-based architectures; workflow automation tools such as Power Automate or Power Apps; and basic logging, monitoring, and debugging practices.
• Analytical and problem-solving skills, ability to structure ambiguous problems, learning agility, and curiosity.
• Awareness of evaluating LLM outputs, data privacy, security, governance, and responsible AI principles.
• Regular and reliable job attendance.
• Effective verbal and written communication skills.
• Respect and understanding of others to maintain professional relationships.
• Independent judgment in evaluating options and making sound decisions.
• AARP will not sponsor an employment visa for this position at this time.

Responsibilities

• Assist the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services.
• Maintain code repositories and Git-based services, if applicable.
• Write code, leverage third-party services, configure systems, and implement solutions in an Agile way.
• Collaborate with the team to identify technical solutions for business and enterprise needs.
• Develop technical knowledge and expertise related to domain-area systems, solutions, services, and applications.

Benefits

• 401(k)
• 100% company-funded pension plan
• Health, dental, and vision plans
• Life insurance
• Paid time off, including company and individual holidays, vacation, sick, caregiving, and parental leave
• Performance-based and peer-based recognition
• Tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level