Engineer I, AI Agents

Job Description:

  • Assist the team with processing transactions, resolving issues, and administering platform or capability systems, solutions, and services
  • Maintain code repositories and Git-based services, where 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
  • Support the day-to-day design, implementation, and operational activities of the AI Agents platform/capability team

Requirements:

  • 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
  • Ability to read, debug, and extend existing codebases
  • Familiarity with RESTful APIs, JSON, basic service integration patterns, and external data source integration
  • 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
  • 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, tool/function calling, workflow orchestration concepts, human-in-the-loop patterns, guardrails, controlled workflows, and error handling
  • Foundational understanding of cloud platforms, preferably Microsoft Azure
  • Understanding of event-driven or trigger-based architectures
  • Familiarity with workflow automation tools such as Power Automate and Power Apps
  • Basic logging, monitoring, and debugging practices
  • Analytical and problem-solving skills; ability to structure ambiguous problems
  • Demonstrated 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
  • Home office environment with ability to work effectively amid moderate home environment noise
  • AARP will not sponsor an employment visa for this position at this time

Benefits:

  • 401(k)
  • 100% company-funded pension plan
  • Health, dental, and vision plans
  • Life insurance
  • Paid company and individual holidays
  • Vacation leave
  • Sick leave
  • Caregiving leave
  • Parental leave
  • Performance-based recognition
  • Peer-based recognition
  • Tuition reimbursement
  • Flexible and hybrid ways of working
  • Hands-on experience, mentorship, and growth opportunities
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