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Senior Python Ai Jobs in Fairfield, CA (NOW HIRING)

Jobzhr

Senior AI Engineer

San Francisco, CA · On-site

$220 - $240/hr

Senior: ~$220k-$240k base | Significant equity Location: San Francisco, hybrid Employment Type ... Strong hands-on Python engineering skills * Experience shipping AI or ML systems into production ...

Eliassen Group

Python Developer

Concord, CA · On-site

$65 - $75/hr

... to-senior level Python Developer to support enterprise data center migration initiatives with a focus on monitoring tools and AI-driven automation. The role involves building high-quality ...

Eliassen Group

Python Developer

Concord, CA · On-site

$65 - $75/hr

... to-senior level Python Developer to support enterprise data center migration initiatives with a focus on monitoring tools and AI-driven automation. The role involves building high-quality ...

AI Talent Now

Senior AI Product Engineer

San Francisco, CA · On-site

$150 - $200/hr

AI Talent Now job # Senior AI Product Engineer(ZR_95_JOB) Our San Franisco based client is building ... What you'll do Define, build, and launch full-stack features (React, Node, and Python) for one of ...

Artificial Analysis

Senior AI / ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

- Senior AI/ML Engineer Location: Melbourne (hybrid, 3+ days a week in our Melbourne office) About ... robust Python solutions for benchmarking, model evaluation and data analysis • Design and ...

Alembic

Senior Applied AI Engineer

San Francisco, CA · On-site

$211K - $235K/yr

The Role We're hiring a Senior Software Engineer onto our Applied AI team to build and extend the ... You'll work across Python-heavy backend services, data systems, and the infrastructure layer that ...

Mxv

Senior Applied AI Engineer

San Francisco, CA · On-site

$182 - $207/hr

The Role We're hiring a Senior Software Engineer onto our Applied AI team to build and extend the ... You'll work across Python-heavy backend services, data systems, and the infrastructure layer that ...

Goodwin

Sr. AI Developer

San Francisco, CA · On-site

$64.25 - $84.75/hr

We're seeking a product-minded Senior AI Engineer to build and scale production-grade AI agents and ... NET, Python, and TypeScript/React, writing well-structured services, clean APIs, and tested code ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$130 - $160/hr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Clera

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are looking for a Senior AI/ML Engineer to own model training pipelines, evaluation systems ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Afresh

Senior AI Platform Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior AI Platform Engineer , you build the AI and data platform that powers Afresh's products ... Python, PySpark, dbt * Databricks (Delta Lake, Unity Catalog, MLflow) * Astronomer (Airflow) for ...

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Showing results 21-40

All JobsPython Ai JobsSenior Python Ai JobsSenior Python Ai Jobs in Fairfield, CA

Senior Python Ai information

See Fairfield, CA salary details

$56K

$144.5K

$198.4K

How much do senior python ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior python ai in Fairfield, CA is $144,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $166,400.00 per year, depending on experience, location, and employer.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are popular job titles related to Senior Python Ai jobs in Fairfield, CA?

For Senior Python Ai jobs in Fairfield, CA, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Fairfield, CA look for?

The top searched job categories for Senior Python Ai jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for Senior Python Ai jobs?

Cities near Fairfield, CA with the most Senior Python Ai job openings:

Senior Python Ai jobs near you
Infographic showing various Senior Python Ai job openings in Fairfield, CA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $144,487 per year, or $69.5 per hour.

Senior AI Engineer

Jobzhr

San Francisco, CA • On-site

$220 - $240/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior AI Engineer, AI Platform & LLM Systems

Compensation: Senior: ~$220k–$240k base | Significant equity

Location: San Francisco, hybrid

Employment Type: Full-time

A fast-scaling, well-funded B2B SaaS company building AI-native software for complex, high-value professional workflows.

This team is rethinking how highly skilled professionals interact with complex data, documentation, and knowledge-heavy processes. Following significant recent funding and continued commercial growth, AI has become a central part of the company’s product and engineering strategy.

Rather than adding lightweight AI features around an existing product, the engineering organization is investing heavily in the underlying platform required to make production AI reliable: evaluation, ingestion, observability, retrieval, orchestration, and the infrastructure supporting increasingly capable AI workflows.

What You’ll Do
  • Build and scale core AI platform capabilities across evals, ingestion, observability, retrieval, and AI/ML infrastructure
  • Own AI systems end-to-end, taking ideas from prototype through to reliable production deployments
  • Design and improve RAG pipelines, embedding workflows, prompt systems, retrieval strategies, and model interaction patterns
  • Develop infrastructure for evaluating, monitoring, versioning, and improving LLM-powered systems
  • Build tooling around AI workflow orchestration, quality control, experimentation, and production reliability
  • Work with complex, domain-specific datasets to improve retrieval and model performance
  • Partner closely with product, design, engineering, and subject-matter experts to turn sophisticated workflows into usable AI products
  • Help establish technical patterns and engineering standards for applied AI across the wider organization
What You’ll Bring
  • Strong software engineering experience across areas such as backend engineering, distributed systems, infrastructure, developer platforms, or ML systems
  • Strong hands-on Python engineering skills
  • Experience shipping AI or ML systems into production rather than working exclusively on prototypes or research
  • Practical experience with one or more of LLMs, RAG, NLP, AI agents, model evaluation, observability, data ingestion, or AI/ML infrastructure
  • Strong understanding of software architecture, system design, reliability, and production engineering
  • Ability to operate comfortably across both AI-specific problems and traditional software engineering challenges
  • A high bar for engineering quality, including the ability to critically review AI-generated code rather than treating generated output as production-ready
  • A pragmatic builder mentality and an appetite for high ownership in a fast-moving technical environment
Tech Stack
  • Python
  • LLMs / Generative AI
  • Retrieval-Augmented Generation (RAG)
  • Embeddings & semantic retrieval
  • LLM evaluation frameworks
  • AI observability & monitoring
  • Data / document ingestion pipelines
  • Workflow orchestration
  • AI / ML infrastructure
  • Distributed backend systems
Why Join?

This is an opportunity to join at an important inflection point: the company has strong funding, an established product and customer base, and executive-level commitment to making AI a fundamental part of the platform.

You’ll have significant ownership over the infrastructure that determines whether AI systems actually work in production, from how information enters the system and is retrieved, through to how outputs are evaluated, monitored, and continuously improved.

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