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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.
