
Engineer I, AI Agents
Posted Sep 1

Posted Sep 1
This is a fully remote position, open to applicants in District of Columbia, +1 more state.
• Support the team in processing transactions, addressing issues, and managing platform or capability systems, solutions, and services.
• Oversee code repositories and Git-based services, when applicable.
• Write code, utilize third-party services, configure systems, and implement solutions in an agile manner.
• Collaborate with the team to discover technical solutions for business and enterprise requirements.
• Cultivate technical knowledge and expertise related to domain-specific systems, solutions, services, and applications.
• Assist with the daily design, implementation, and operational tasks of the AI Agents platform/capability team.
• 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 contemporary programming language: Python, JavaScript/TypeScript, C#, or Java.
• Capability 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 in designing and iterating on prompts and structured outputs such as JSON/schema-based responses.
• Hands-on experience with 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.
• Knowledge of event-driven or trigger-based architectures.
• Familiarity with workflow automation tools such as Power Automate and Power Apps.
• Basic practices for logging, monitoring, and debugging.
• Strong analytical and problem-solving abilities; capability to structure ambiguous problems.
• Demonstrated learning agility and curiosity.
• Awareness of evaluating LLM outputs, data privacy, security, governance, and responsible AI principles.
• Consistent and reliable job attendance.
• Proficient verbal and written communication skills.
• Respect and understanding of others to foster professional relationships.
• Independent judgment in assessing options and making informed decisions.
• Ability to work effectively in a home office environment with moderate background noise.
• AARP will not sponsor an employment visa for this position at this time.
• 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 working arrangements
• Hands-on experience, mentorship, and growth opportunities
Mercor
Mercor
Mercor
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