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Python Llm Jobs in Oakland, CA (NOW HIRING)

EchoStar

Agentic AI Engineer II

San Mateo, CA

$116K - $157K/yr

Python * LLM-powered systems or backend frameworks Visa sponsorship not available for this role #LI-CH2 Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) ...

EchoStar

Agentic AI Engineer II

San Mateo, CA · On-site

$116K - $157K/yr

Python * LLM-powered systems or backend frameworks Visa sponsorship not available for this role #LI-CH2 Benefits We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) ...

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Python * Ability to work autonomously and drive initiatives across multiple product areas and ...

SupportFinity™

LLM Platform Engineer

San Francisco, CA · On-site

$250/hr

Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ... Python. * Ability to work autonomously and drive initiatives across multiple product areas and ...

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All JobsPython Llm JobsPython Llm Jobs in Oakland, CA

Python Llm information

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$15

$67

$99

How much do python llm jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python llm in Oakland, CA is $67.33, according to ZipRecruiter salary data. Most workers in this role earn between $55.48 and $76.49 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

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Infographic showing various Python Llm job openings in Oakland, CA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $140,036 per year, or $67.3 per hour.

Agentic AI Engineer II

EchoStar

San Mateo, CA

$116K - $157K/yr

Full-time

Medical, Retirement

Re-posted 14 days ago

EchoStar rating

7.3

Company rating: 7.3 out of 10

EchoStar

Based on 73 frontline employees who took The Breakroom Quiz

7.5

Company rating compared to similar companies: 7.5 out of 10

Telecommunications companies average

Based on 5,816 frontline employees who took The Breakroom Quiz

Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview.

EchoStar is seeking a motivated and inquisitive Junior Agentic AI Engineer to join the AI team. Under the guidance of senior engineers, this role focuses on learning and supporting the team to design, build, and bring to production enterprise-grade AI solutions and autonomous multi-agent systems. The position plays a supporting role in developing scalable generative AI products that drive measurable business impact by translating complex workflows into resilient architectures and leveraging advanced agentic AI techniques to revolutionize the entertainment industry.

What Success Looks Like (Objectives):

  • Support the design and development of autonomous AI services and multi-agent workflows alongside senior team members
  • Assist in the implementation of open communication protocol integrations (MCP and A2A) for agent coordination and task delegation
  • Participate in the architecture of hybrid control flows, state machines, and graphs under supervision to manage multi-step reasoning
  • Integrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety
  • Collaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices
Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring):

  • Strong coding foundations in Python and exposure to backend frameworks such as FastAPI
  • Understanding of or exposure to cloud-based foundation model platforms, like AWS Bedrock
  • Familiarity with containerization, CI/CD pipelines, and cloud infrastructure including Docker, EKS, and GitLab CI/CD
  • Active AI literacy and eagerness to master modern orchestration frameworks and standard agentic communication protocols
  • Collaborative problem solving and ability to translate business requirements into technical agent specifications
  • 1-2 years of software development or data science experience with foundational knowledge in LLM-powered systems

Additional Qualifications:

  • Experience with agent interoperability and communication standards, including MCP and A2A protocol
  • Familiarity with multi-agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen
  • Familiarity with agent deployment platforms and infrastructure hosting like Bedrock AgentCore or equivalent production-grade hosting environments
  • Familiarity with big data platforms and distributed systems for large-scale context processing

Minimum Requirements:

  • Minimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
  • Minimum Experience: 1-2 years of experience in software development or data science
  • Required Technical Skills: Must have at least 1 year of experience with:
    • Python
    • LLM-powered systems or backend frameworks

Visa sponsorship not available for this role

#LI-CH2

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

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