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