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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