AI Agent Developer I

Sierra Nevada Corporation•Lone Tree, CO

5d•Hybrid

About The Position

The Agent Developer I is an entry-level role designed for early‑career technologists ready to build the next generation of autonomous software systems. In this position, you will help design, develop, and deploy intelligent agents capable of multi-step reasoning, tool use, and decision-making with minimal human oversight. This role blends software engineering, systems design, and large language model (LLM) orchestration to create agents and multi-agent systems that can autonomously execute tasks, interact with external tools and APIs, and adapt to dynamic, real‑world environments. It’s an exciting opportunity for candidates passionate about emerging technologies who want to grow their technical skill set and contribute to impactful, mission-driven projects in a collaborative environment. As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Requirements

Bachelor’s degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline
0-2 years of experience in cloud engineering or a related field.
Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 4 years of related experience is required.
Basic programming skills in Python, C++, C# or Java.
Understanding of foundational machine learning concepts and techniques.
Strong analytical and problem-solving skills.
Proficiency in prompt engineering and context design for reasoning and tool orchestration
API and tool integration skills (REST, GraphQL, microservices)
Strong analytical and problem-solving skills.

Nice To Haves

Exposure to neural networks, signal processing, or computer vision frameworks.
Internship or project-based experience in AI, data science, or software development.
Familiarity with version control tools (e.g., Git).
Exposure to Agile or DevOps methodologies through coursework or internships.
Experience participating in team-based software development projects.
Ability to analyze small-to-moderate datasets using standard statistical or ML methods.

Responsibilities

Stay up-to-date with the latest advancements in AI/ML technologies by participating in training, workshops, and team discussions.
Develop and implement AI agents and multi‑agent systems capable of autonomously executing tasks, making context‑driven decisions, and interacting with external tools, APIs, databases, and external services.
Architect and orchestrate multi‑step, multi‑agent workflows, decomposing high‑level goals into executable tasks and ensuring seamless communication, reliable tool use, and efficient coordination across complex pipelines.
Implement logic for LLM‑driven decision‑making, including tool selection, tool chaining, fallback strategies, guardrails, and overall agent resilience.
Build and maintain evaluation and observability frameworks to measure agent accuracy, reliability, and efficiency, while continuously monitoring production behavior and improving system robustness.
Develop memory, retrieval, and RAG systems using vector databases or knowledge graphs to enhance agent context, reasoning, and long‑term performance.
Deploy, scale, and manage agent‑based solutions on cloud platforms such as AWS, Azure, and GCP.
Collaborate with cross‑functional teams—including product, domain experts, engineering, and security—to ensure agent capabilities align with business requirements and operational constraints.