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Temporary Ai Programmer Jobs (NOW HIRING)

Senior AI Engineer

Pleasanton, CA · On-site

$130K - $155K/yr

About the Role As a Senior AI Engineer at Avathon, you will play a key role in designing and ... temporary roles are not eligible for the above benefits. Compensation Pay Range: $130k - $155k ...

AI Engineer This role focuses on designing, building, and deploying end-to-end, multi-step agentic ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

About the Opportunity We are seeking a foundational AI Frontend Engineer to join a high-impact team ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

This includes, for example, situations where a candidate may have temporary work authorization ... Proven experience with Generative AI (prompt engineering, fine-tuning, RAG) combined with ...

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How much do temporary ai programmer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for temporary ai programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.
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Infographic showing various Temporary Ai Programmer job openings in the United States as of June 2026, with employment types broken down into 14% Full Time, and 86% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Senior AI Engineer

Senior AI Engineer

Avathon

Pleasanton, CA • On-site

$130K - $155K/yr

Other

Medical, Retirement

Posted 3 days ago


Job description

About the Role

As a Senior AI Engineer at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With minimum 5 years of industry experience, you are expected to bring strong expertise in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization.

You Will
  • Design, develop, and deploy machine learning and Generative AI solutions to solve complex business problems
  • Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications
  • Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization
  • Develop scalable ML pipelines and production-grade systems in collaboration with Engineering teams
  • Conduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications
  • Work closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions
  • Instrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift
  • Contribute to model governance, responsible AI practices, and performance monitoring in production environments
  • Stay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions
You'll Have
  • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • Minimum 5 years of hands-on industry experience in AI engineering, machine learning, data science, or applied AI roles
  • Strong experience with Generative AI frameworks and Large Language Models (e.g., transformer architectures, fine-tuning, RAG systems)
  • Proficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems
  • Solid understanding of statistical modeling, experimentation, and model evaluation methodologies
  • Experience building and deploying ML models into production environments
  • Familiarity with data engineering workflows and cloud-based ML platforms (AWS, GCP, or Azure)
  • Strong problem-solving skills with the ability to work independently on complex and ambiguous problem statements
  • Excellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders
Preferred Qualifications
  • Experience implementing Retrieval-Augmented Generation (RAG), vector databases, and embedding-based search systems
  • Hands-on experience with LLM observability platforms (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases) for tracing, cost tracking, and quality monitoring in production
  • Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns such as LLM-as-judge and automated regression testing
  • Practical experience deploying LLM applications with guardrails, prompt versioning, hallucination detection, and model drift monitoring
  • Exposure to distributed training, model optimization, and scalable inference architectures
  • Knowledge of MLOps practices, CI/CD for ML (Travis CI, Jenkins), and model lifecycle management
  • Prior experience applying AI solutions in industrial or asset-intensive environments
  • Experience working in fast-paced startup or product-driven environments
  • Industry experience in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy
  •  
Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

  • Evolving culture with the opportunity to drive new ideas and technology
  • Stock Option Grants
  • Medical Coverage and Parental Leave Plans
  • 401k with Employer Match
  • Monthly Technology Allowance
  • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $130k - $155k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.