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Python Llm Jobs in Los Altos, CA (NOW HIRING)

Apple

Sr Python Backend Engineer, AIML

Cupertino, CA · On-site

The AI and Machine Learning team is looking for Sr Python Backend Engineer to build world-class ... LLM-powered workflows, AI agents, and modern AI-assisted development practices. Minimum ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA

$143K - $186K/yr

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch. * Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines.

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in Python and experience with AI-related training and inference tools such as PyTorch. * Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines.

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Strong hands-on programming experience with Python and TypeScript/JavaScript . * Experience building AI-powered user experiences using React . * Hands-on experience with LLM APIs such as OpenAI ...

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Strong hands-on programming experience with Python and TypeScript/JavaScript . * Experience building AI-powered user experiences using React . * Hands-on experience with LLM APIs such as OpenAI ...

Unicon Systems

AI Consultant

San Jose, CA · On-site

$150 - $210/hr

Strong hands-on programming experience with Python and TypeScript/JavaScript . * Experience building AI-powered user experiences using React . * Hands-on experience with LLM APIs such as OpenAI ...

Unicon Systems

AI Consultant

San Jose, CA · On-site

$62 - $68/hr

Strong hands-on programming experience with Python and TypeScript/JavaScript . * Experience building AI-powered user experiences using React . * Hands-on experience with LLM APIs such as OpenAI ...

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All JobsPython Llm JobsPython Llm Jobs in Los Altos, CA

Python Llm information

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$15

$69

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How much do python llm jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python llm in Los Altos, CA is $69.43, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $78.85 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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Python Llm jobs near you
Infographic showing various Python Llm job openings in Los Altos, CA as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $144,405 per year, or $69.4 per hour.

Staff Software Development Engineer (LLM)

Fortinet, Inc.

Sunnyvale, CA • On-site

$196K - $219K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description


Job Responsibilities:
  1. Architect and implement functions to monitor and filter LLM requests/responses in real time, preventing prompt injection attacks and unauthorized data leakage.
  2. Build a highly scalable pipeline capable of handling high-volume LLM traffic with low latency, including optimizing databases and caching for quick threat detection and response.
  3. Develop monitoring, logging, and alerting systems to detect anomalies in LLM usage (e.g. suspicious spikes indicating denial-of-service attacks or unusual prompt patterns indicating misuse).
  4. Collaborate with teams to translate security requirements into platform features. Mentor junior engineers on secure backend development and best practices in an Agile environment.
  5. Ensure the timely delivery of high-quality software features while adhering to project schedules.
  6. Communicate effectively across teams, with both technical and non-technical stakeholders, in both verbal and written forms.

Job requirements:
  1. Hands-on experience with deploying or integrating large language models or other AI/ML systems (e.g. implementing model inference pipelines, fine-tuning models, or working with LLM APIs and prompt handling). Strong understanding of how prompts and context are managed in LLM applications.
  2. Solid knowledge of application security principles and experience building secure systems. Familiarity with AI-specific threats (prompt injection, data poisoning, output manipulation) and a keen interest in staying ahead of new generative AI attack vectors.
  3. Proven experience designing microservices architectures and using containerization (Docker) and orchestration (Kubernetes). Comfortable with cloud platforms (AWS, GCP, or Azure) and designing observable, resilient services in a production environment.
  4. Ability to design clean, efficient, and secure APIs. Strong understanding of network protocols, data caching, and performance optimization.
  5. Knowledge of data protection and privacy best practices - able to design systems that handle sensitive data responsibly and comply with regulations. Understanding of responsible AI principles (ethics, bias, transparency) and how they relate to secure AI system design.
  6. Familiarity with emerging AI security guidelines such as OWASP's Top 10 for LLMs/Generative AI Security (e.g. knowledge of prompt injection, insecure output handling, data poisoning risks) and experience implementing related mitigations.
  7. Experience with retrieval-augmented generation (RAG) architectures, vector databases/embedding stores, or streaming data pipelines for ML - especially as they relate to monitoring and securing LLM workflows (helps in addressing vector embedding attack vulnerabilities).
  8. Understanding of responsible AI and techniques for detecting AI-generated misinformation or hallucinations. Experience building or integrating content filtering, policy enforcement, or fact-checking systems in AI applications is a plus.
  9. Strong programming and debugging skills, particularly in Python and C/C++.
  10. Familiarity with Frameworks like PyTorch or TensorFlow for model integration; libraries such as Hugging Face Transformers or LangChain for LLM and prompt management; LLM APIs (OpenAI, etc.) and vector databases is beneficial.

Must be authorized to work in the U.S. without sponsorship.
The US base salary range for this full-time position is $196,500-$219,300. Fortinet offers employees a variety of benefits, including medical, dental, vision, life and disability insurance, 401(k), 11 paid holidays, vacation time, and sick time as well as a comprehensive leave program.
Wage ranges are based on various factors including the labor market, job type, and job level. Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, experience, and geographic location.
All roles are eligible to participate in the Fortinet equity program, Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.
Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.
About Us
Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government organizations around the world. Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network - today and into the future. Only the Fortinet Security Fabric architecture can deliver security without compromise to address the most critical security challenges, whether in networked, application, cloud or mobile environments. Fortinet ranks number one in the most security appliances shipped worldwide and more than 500,000 customers trust Fortinet to protect their businesses.
We are committed to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at accommodations@fortinet.com.
Fortinet is an equal opportunity employer. We value diversity in our company, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, military/veteran status or any other applicable legally protected characteristics in the location in which the candidate is applying.

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