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Python Engineer Ai Jobs in San Francisco, CA (NOW HIRING)

Senior GenAI / Agentic AI Engineer (Python-heavy) Contract: 6 months (possible extension) Location: Concord, CA ( Hybrid working model - 3 days onsite/2 days remote) In-person interview at client ...

Agentic AI/Python Engineer Location: Concord, CA (3days in hybrid) Duration: 12+ Months Contract Pay Rate: $70-80/hour Position Overview * We are seeking a Senior Agentic AI Engineer to join a ...

Senior Python Engineer

San Mateo, CA · On-site

$138K - $186K/yr

Veryfi is looking for a Senior Python Engineer. The role involves building modern web applications ... Veryfi provides AI-powered document capture, extraction APIs, and fraud detection to automate ...

A client of Innova Solutions is immediately hiring for a Sr. Python AI Engineer Position type: Contract (12+ months) Location: Concord, CA Hybrid Onsite (3 days onsite, 2 days remote in a week) As a ...

Software Engineer AI

San Mateo, CA · On-site

$190K - $240K/yr

DoBuild AI-powered features end-to-end (React/TypeScript → Node.js/Python) with streaming and ... Engineers on API contracts; advocate for the user when model outputs break do * wnBuild feedback ...

Software Engineer AI

Hayward, CA · On-site

$190K - $240K/yr

DoBuild AI-powered features end-to-end (React/TypeScript → Node.js/Python) with streaming and ... Engineers on API contracts; advocate for the user when model outputs break do * wnBuild feedback ...

Software Engineer AI

San Francisco, CA · On-site

$190K - $240K/yr

DoBuild AI-powered features end-to-end (React/TypeScript → Node.js/Python) with streaming and ... Engineers on API contracts; advocate for the user when model outputs break do * wnBuild feedback ...

Software Engineer AI

Alameda, CA · On-site

$190K - $240K/yr

DoBuild AI-powered features end-to-end (React/TypeScript → Node.js/Python) with streaming and ... Engineers on API contracts; advocate for the user when model outputs break do * wnBuild feedback ...

AI Engineer

Concord, CA · On-site

$75 - $82/hr

* AI Engineer About the Initiative: * Part of the Consumer Technology Marketing Technology ... Strong backend Python developer with experience building and supporting microservices-based ...

Strong Python engineering experience supporting production systems (FastAPI or similar ... Fluency is looking for a Software Engineer, AI Platform to build the data platform, LLM pipelines ...

Python OSS Engineer

San Francisco, CA · On-site

$160K - $240K/yr

Our work defines the developer experience for building AI applications with Python. About the role ... In person 5 days/week in San Francisco, CA or Boston, MA (SF preferred) We're looking to add a core ...

LangChain is focused on making intelligent agents ubiquitous by providing a platform for building, evaluating, deploying, and operating AI agents. The Python OSS Engineer will be responsible for ...

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

The role involves hands-on programming and development of AI/ML applications, requiring strong expertise in Python and various frameworks. Responsibilities : • Proven experience as a Python ...

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Python Engineer Ai information

See San Francisco, CA salary details

$27.1K

$164.9K

$238.6K

How much do python engineer ai jobs pay per year?

As of Sep 1, 2026, the average yearly pay for python engineer ai in San Francisco, CA is $164,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,200.00 and $193,800.00 per year, depending on experience, location, and employer.

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

AspectPython Engineer AiData Scientist
Required SkillsPython, AI/ML frameworks, software developmentStatistics, data analysis, Python, machine learning
Work EnvironmentSoftware development teams, AI projectsResearch, data analysis, business insights
Common CertificationsPython certifications, AI/ML coursesData Science certifications, statistical courses
Industry UsageTech, AI startups, software companiesFinance, healthcare, marketing, research

Python Engineer Ai focuses on developing AI applications and integrating machine learning models into software systems, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical methods and data visualization. While both roles involve Python and machine learning, Python Engineer Ai emphasizes software development for AI solutions, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Python Engineer Ai jobs in San Francisco, CA?

For Python Engineer Ai jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Python Engineer Ai jobs in San Francisco, CA look for?

The top searched job categories for Python Engineer Ai jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Python Engineer Ai jobs?

Cities near San Francisco, CA with the most Python Engineer Ai job openings:

AI Python Engineer

Mindlance

Concord, CA • On-site

Other

Posted 11 days ago


Job description

ONLY W2 (NO C2C/1099)

Job title: Senior GenAI / Agentic AI Engineer (Python-heavy)

Contract: 6 months (possible extension)

Location: Concord, CA (Hybrid working model – 3 days onsite/2 days remote)

In-person interview at client location

 

Job Overview

We are seeking a Senior GenAI / Agentic AI Engineer to design and develop intelligent, agent-based solutions that automate user testing for marketing campaigns. The role will focus on building multi-agent systems, RAG pipelines, and AI-driven testing workflows using Google Cloud technologies.

The ideal candidate will have strong hands-on experience with GenAI, LLMs, agent orchestration, RAG, vector databases, Python, and Google Cloud Platform. Experience with Google ADK (Agent Development Kit) is highly preferred.

Key Responsibilities

  • Design and develop multi-agent AI systems for automated user testing.
  • Build AI agents that can simulate different users and automatically execute testing scenarios.
  • Develop agent-to-agent communication and workflows between multiple AI agents.
  • Build and optimize Retrieval-Augmented Generation (RAG) solutions.
  • Design data architectures and determine when to use:
    • Vector databases
    • Relational databases
    • Graph data stores
  • Develop scalable document ingestion pipelines for large volumes of data, including potentially millions of PDF documents.
  • Implement document processing and deduplication strategies to reduce storage, processing time, and infrastructure costs.
  • Develop GenAI applications using Google Cloud Platform (Google Cloud Platform).
  • Work with Google ADK (Agent Development Kit) to build and orchestrate AI agents.
  • Develop solutions using frameworks such as LangChain and/or LangGraph.
  • Integrate LLMs with enterprise data sources and knowledge repositories.
  • Design scalable architectures for AI-powered marketing campaign testing.
  • Develop production-quality Python applications and services.
  • Evaluate system architecture, performance, scalability, and cost.
  • Collaborate with technical and business stakeholders to translate requirements into AI-powered solutions.

Required Skills

  • Strong hands-on experience with Python.
  • Strong understanding of Generative AI and LLM technologies.
  • Experience designing and developing multi-agent systems.
  • Strong understanding of RAG architecture and implementation.
  • Experience with vector databases and semantic search.
  • Understanding of relational databases and graph databases and their appropriate use cases.
  • Strong Google Cloud Platform / Google Cloud experience.
  • Experience with AI/LLM frameworks such as LangChain or LangGraph.
  • Understanding of document ingestion, chunking, embeddings, indexing, and deduplication.
  • Strong problem-solving and system-design skills.
  • Experience developing scalable and production-ready AI applications.

Preferred Skills

  • Hands-on experience with Google ADK (Agent Development Kit).
  • Experience implementing agent-to-agent (A2A) communication.
  • Experience building AI agents for automated testing or workflow automation.
  • Experience with large-scale document processing.
  • Experience optimizing vector database storage and retrieval costs.
  • Experience with Google Cloud-based GenAI architectures.
  • Experience with marketing technology or automated user-testing platforms.


EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”


Mindlance logo

About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999