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Junior Ai Agent Developer Jobs in Nevada (NOW HIRING)

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Virtusa Corporation

Systems Architect

Las Vegas, NV · On-site

$232K/yr

... Engineering FastAPI Java Python App Engine CI CD Pipelines Deployment Automation API Security API Key Management Secrets Management Token Management AI Agent Testing Agent Workflow Testing ...

Office1

AI Solutions Engineer

Las Vegas, NV · On-site

What we're looking forYou've built a retrieval/RAG system or AI agent over real documents - you ... engineering career and eager to grow into our team's AI expert.It's probably not a fit if...You ...

Office1

AI Solutions Engineer

Las Vegas, NV · On-site

You've built a retrieval/RAG system or AI agent over real documents - you understand chunking ... AI engineering career and eager to grow into our team's AI expert. It's probably not a fit if.

Office1

AI Solutions Engineer

Las Vegas, NV

You've built a retrieval/RAG system or AI agent over real documents - you understand chunking ... AI engineering career and eager to grow into our team's AI expert. It's probably not a fit if.

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Junior Ai Agent Developer information

What does a junior AI agent developer do?

A Junior AI Agent Developer assists in designing, developing, and testing intelligent software agents that can perform tasks autonomously or interact with users. They typically work under the supervision of senior developers, contributing to coding, debugging, and integrating AI algorithms into applications. Their responsibilities may also include data preprocessing, model training, and monitoring agent performance. Junior developers often collaborate with team members to learn best practices and improve their technical skills in AI development.

What are the key skills and qualifications needed to thrive as a junior AI agent developer?

To thrive as a Junior AI Agent Developer, you need a solid background in programming (especially Python), foundational knowledge of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, experience using version control systems (e.g., Git), and understanding APIs are commonly required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and learn rapidly in a dynamic field. These skills ensure you can contribute to developing, testing, and refining AI agents that perform reliably and efficiently.

What are some typical challenges faced by junior AI agent developers when working on real-world projects?

Junior AI Agent Developers often encounter challenges such as adapting to rapidly evolving AI frameworks, integrating agent models with existing software systems, and debugging complex machine learning pipelines. Additionally, collaborating effectively with data scientists, backend engineers, and product managers requires strong communication skills and a willingness to learn from more experienced colleagues. Overcoming these challenges provides valuable learning experiences and helps build a solid foundation for career advancement in AI development.

What is the difference between Junior Ai Agent Developer vs AI Software Engineer?

AspectJunior Ai Agent DeveloperAI Software Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, AI, or related; advanced certifications
Work EnvironmentStart-up, tech companies, AI labs; collaborative teamsTech firms, research institutions; more complex projects
Employer & Industry UsageAI startups, tech companies, industries adopting AILarge tech firms, R&D departments, AI-focused companies
Common Search & ComparisonYesNo

The Junior Ai Agent Developer typically focuses on developing and implementing AI agents under supervision, while an AI Software Engineer handles more complex AI system design, optimization, and integration. The roles differ mainly in experience level and project complexity, with the AI Software Engineer requiring more advanced skills and experience.

What are the most commonly searched types of Ai Agent Developer jobs in Nevada?

The most popular types of Ai Agent Developer jobs in Nevada are:

What are popular job titles related to Junior Ai Agent Developer jobs in Nevada?

For Junior Ai Agent Developer jobs in Nevada, the most frequently searched job titles are:

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The top searched job categories for Junior Ai Agent Developer jobs in Nevada are:

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Cities in Nevada with the most Junior Ai Agent Developer job openings:

Junior Ai Agent Developer jobs near you

AI Agent Trajectory Annotator and Reviewer

Bespoke Labs

Sparks, NV

$20 - $30/hr

Full-time

Posted 4 days ago

Job description

Type: Contract, hourly

Location: Remote

Hours: 20–30 per week

Pay: $20–30/hour, based on experience and language coverage

Start: Immediate

ABOUT THE ROLE

We evaluate how well advanced AI coding agents solve real engineering problems. An agent is given a real open source codebase inside a container and a hard task, then works on its own for 80 to 250 steps. A trajectory is the full record of that run — every command, result, and decision.

You will do two jobs, and you should expect either on any given day.

•Annotate — Read a trajectory nobody has looked at yet and judge it step by step.

• Review — Take an existing annotation, written by our AI tooling or another person, and confirm, correct, or reject it.

TASKS YOU'LL SEE

• Feature build — Add a working feature to a live library without breaking anything that already worked.

• Rebuild — Work out what a compiled tool does by running it, then rebuild it to match its output, exit codes, and file effects.

• Bug hunt — Find and fix twenty undocumented bugs across a dozen files with no test suite, then record what caused them.

Mostly Python and Go, with some Rust, C, and Ct+. A trajectory runs about 100 steps.

WHAT YOU JUDGE IN A TRAJECTORY

• Was the command right for the state the environment was actually in?

• Did the agent read the previous output correctly?

• Was the step wrong, or only inefficient — these are scored differently.

• Where did the run first go off course — usually earlier than where it visibly broke.

• Did the agent notice its own mistake and recover, or keep building on a false assumption?

• Did it game the grader instead of solving the task (e.g., weakening a test or hardcoding an expected value)?

WHAT WE NEED FROM YOU

• Experience — 2+ years in software engineering, DevOps, or site reliability, with real debugging in real codebases.

• Languages — Strong in Python or Go, and able to read a language you've never used.

• Linux — Comfortable with logs, running processes, build failures, and containers.

• Workflow — Everyday Git, diffs, pull requests, and issue tracking.

• Debugging — Able to work with no test suite and no error message pointing at the cause.

• Focus — Able to hold context across a long run, because step 74 can depend on step 12.

• Writing — Clear English, since every judgement needs an explanation another engineer can check.

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