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Intern Ai Agent Developer Jobs in Reno, NV (NOW HIRING)

Demonstrated expertise designing AI/ML platforms or developer tools: model serving infrastructure, feature stores, experiment tracking, MLOps pipelines, or AI agent development environments. * Deep ...

Senior Software Engineer, Agent Foundry

Reno, NV · On-site

$122K - $161K/yr

Are you excited to solve complex challenges involving agent orchestration, reliability ... Contributions to open-source AI or developer tooling projects About Ridgeline Ridgeline is ...

Senior Software Engineer, Agent Foundry

Reno, NV · On-site

$122K - $161K/yr

Are you excited to solve complex challenges involving agent orchestration, reliability ... Contributions to open-source AI or developer tooling projects About Ridgeline Ridgeline is ...

AI-Native UI React Engineer

Truckee, CA · On-site +1

$140K - $210K/yr

Bonus: you've built or contributed to agent workflows, custom Cursor rules, or developer tooling for AI-assisted engineering. Expert React + TypeScript * Deep working knowledge of React 18 ...

Join Generac's Residential Power Electronics team as a Firmware Engineering Intern in Reno, NV, and ... Willingness to learn AI tools in a production development environment. Knowledge / Skills ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... for agent training. This means designing observation spaces, action spaces, reward signals, and ...

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer, and why are they important?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.
What are popular job titles related to Intern Ai Agent Developer jobs in Reno, NV? For Intern Ai Agent Developer jobs in Reno, NV, the most frequently searched job titles are:
AI Agent Developer I

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Sierra Nevada Corporation rating

8.6

Company rating: 8.6 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

17th of 60 rated aerospace companies


Job description

The Agent Developer I is an entry-level role designed for earlycareer 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, realworld 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 multiagent systems capable of autonomously executing tasks, making contextdriven decisions, and interacting with external tools, APIs, databases, and external services.
  • Architect and orchestrate multistep, multiagent workflows, decomposing highlevel goals into executable tasks and ensuring seamless communication, reliable tool use, and efficient coordination across complex pipelines.
  • Implement logic for LLMdriven decisionmaking, 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 longterm performance.
  • Deploy, scale, and manage agentbased solutions on cloud platforms such as AWS, Azure, and GCP.
  • Collaborate with crossfunctional 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%).

This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.

Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team!

SNC is an Equal Opportunity Employer committed to an environment free of discrimination.Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law.


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