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Junior Ai Agent Developer Jobs in Arizona (NOW HIRING)

Senior AI Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

... junior AI engineers Required Skills & Experience 12+ years of experience in AI / ML Very strong ... multi-agent orchestration Experience with LLMOps / MLOps in production environments Cloud ...

New

Strong knowledge of prompt engineering , AI orchestration, and model evaluation. * Experience with ... Knowledge of MCP (Model Context Protocol) or AI agent architectures. * Experience with Python for ...

Manager - Application & AI Security

Scottsdale, AZ · On-site

$58.75 - $78.25/hr

Prompt-injection, jailbreak, and AI-agent security risks are regularly assessed. * Application and AI security practices are embedded into engineering workflows rather than operating as a separate ...

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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 Arizona?

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

What cities in Arizona are hiring for Junior Ai Agent Developer jobs?

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

$121K - $160K/yr

Other

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Job description

Job Title: Senior AI Engineer
 
Key Responsibilities
Architect and develop AI-driven IVR and conversational systems using Python
Build NLP models for text classification and clustering to support intent detection and call routing
Perform data analysis using SQL 
Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
Lead development of agentic AI workflows for multi-step customer interactions
Establish LLMOps best practices, including monitoring, evaluation, and lifecycle management
Partner with IVR platform, speech engineering, and product teams
Mentor offshore and junior AI engineers
 
Required Skills & Experience
12+ years of experience in AI / ML
Very strong proficiency in Python
Proven expertise in NLP, including:
Text classification
Clustering
Strong experience in data analysis using SQL
Hands-on experience with LLMs:
Prompt engineering
Evaluation frameworks
Retrieval-Augmented Generation (RAG)
 
Good to Have
Experience with Agentic AI and multi-agent orchestration
Experience with LLMOps / MLOps in production environments
Cloud Experience
 
Libraries & Tools
Python / ML: NumPy, Pandas, Scikit-learn, XGBoost
NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
Data & SQL:  Oracle, MySQL, SQLAlchemy
Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow
 

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About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005