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Software Engineer Ai Model Training Jobs in Arizona

OmegaHires

Gen AI Engineer with Python

Phoenix, AZ · On-site

... Models (LLMs) into production environments. This is a hands-on technical leadership role requiring ... Required Skills 8+ years of software development experience with Python. 3+ years of hands-on ...

Tror AI for everyone

Software Engineer

Phoenix, AZ · On-site

Job Position: - Senior Software Engineer Job Location: - Phoenix AZ (100% onsite) Job Type ... AI frameworks. * Exposure to LLM (Large Language Models), agentic architectures, and prompt ...

Globe Telecom, Inc.

Fullstack Developer (AI)

Globe, AZ · On-site

Taking a raw AI model and turning it into a polished, user-facing software product. * Participate ... Prompt Engineering vs. UI: Aligning the "hidden" logic of an AI prompt with the visible inputs ...

OmegaHires

Lead Gen AI Engineer with Python

Phoenix, AZ · On-site

$139K - $170K/yr

... Models (LLMs) into production environments. This is a hands-on technical leadership role requiring ... Required Skills 8+ years of software development experience with Python. 3+ years of hands-on ...

Confiz LLC

Principal AI Engineer

Phoenix, AZ · On-site

... model training/serving. * Architect full-stack solutions that integrate AI models into web ... Requirements * 10+ years in software/solution architecture, with 4+ years specifically in AI/ML ...

University of Arizona

Senior Software Engineer

Tucson, AZ · On-site

$115K - $152K/yr

* Architect and lead development of agentic AI systems for scientific research, including multi-agent ... Provide technical leadership, mentoring, and training for software engineers, graduate students ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Arizona?

For Software Engineer Ai Model Training jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Arizona look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Arizona are:

What cities in Arizona are hiring for Software Engineer Ai Model Training jobs?

Cities in Arizona with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Gen AI Engineer with Python

OmegaHires

Phoenix, AZ • On-site

Contractor

Posted 7 days ago

Job description

Gen AI Engineer with Python
Job Description:We are looking for a Gen AI Engineer with strong expertise in Python, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to lead the design and development of enterprise AI solutions. The ideal candidate will have hands-on experience in preparing and engineering enterprise data for AI use cases, building scalable RAG pipelines, implementing autonomous AI agents, and integrating Large Language Models (LLMs) into production environments.
This is a hands-on technical leadership role requiring deep knowledge of AI architecture, data preparation, prompt engineering, vector databases, and modern AI frameworks.
Required Skills
8+ years of software development experience with Python.
3+ years of hands-on experience delivering Generative AI solutions.
Strong expertise in Retrieval-Augmented Generation (RAG) architecture and implementation.
Hands-on experience building Agentic AI solutions using LangGraph, CrewAI, AutoGen, LangChain, LlamaIndex, or Semantic Kernel.
Experience preparing, processing, and engineering structured and unstructured enterprise data for AI use cases.
Strong understanding of document ingestion, chunking strategies, embeddings, metadata enrichment, and vector search.
Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or Milvus.
Experience integrating LLMs including OpenAI, Azure OpenAI, Gemini, Claude, Llama, or Mistral.
Strong knowledge of Prompt Engineering, AI orchestration, and tool/function calling.
Experience developing APIs using FastAPI, Flask, or Django.
Experience with Docker, Kubernetes, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).
Preferred Skills
Experience with AI evaluation frameworks, observability, and LLMOps.
Knowledge of MLOps and AI model deployment.
Experience with Databricks, Snowflake, or enterprise data platforms.
Familiarity with knowledge graphs and enterprise search solutions.

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