SNC is seeking a talented and innovative AI Agent Developer to join its growing technology team. This is an exciting opportunity for professionals passionate about artificial intelligence, automation, machine learning, and intelligent agent development. The selected candidate will work on cutting-edge AI solutions, collaborate with cross-functional teams, and contribute to building advanced AI-driven systems that support business operations and innovation. If you are looking to advance your career in a dynamic environment with competitive compensation and growth opportunities, SNC invites you to apply.
Job Overview
| Field | Details |
|---|---|
| Company Name | SNC |
| Role | AI Agent Developer |
| Qualification | Bachelor’s Degree in Computer Science, Software Engineering, Artificial Intelligence, or related field |
| Job Location | Nevada (NV) & Colorado (CO), USA |
| Salary | $77,000 – $96,500 per year |
| Work Type | Hybrid / On-site (Based on Business Requirements) |
| Job Type | Full-Time |
| Job Level | Entry Level |
| Industry | Aerospace, Defense, Technology & Innovation |
Job Description
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.
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.
Qualifications You Must Have:
- 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.
Qualifications We Prefer:
- 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.
Essential Functions:
- Work on a computer for extended hours performing coding, debugging, and testing.
- Attend and contribute to team meetings and brainstorming sessions.
- Travel occasionally to support testing or deployment efforts (up to 10%).
- Ability to work in a hybrid office environment and adapt to project requirements.
Selection Process
- Application Submission
- Resume Screening
- Technical Assessment
- Hiring Manager Interview
- Panel/Technical Interview
- Background Verification
- Final HR Discussion
- Offer Letter & Onboarding
How to Apply
- Visit the SNC Careers Portal
- Search for “AI Agent Developer”
- Review the job requirements and responsibilities
- Prepare and update your resume
- Complete the online application form
- Upload the required documents
- Submit your application
- Wait for confirmation and further communication from the recruitment team
