[Hiring] Engineer I, AI Agents @AARP

Role Description

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.

• 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.

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.
• Home office environment with the ability to work effectively surrounded by moderate home environment noise - (Telework).

Benefits

• 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.
• Tuition reimbursement.