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Remote Python Llm Jobs in Pittsburg, CA (NOW HIRING)

Topcon Corporation

Senior Security Engineer

Livermore, CA · On-site +1

$134K - $184K/yr

Help assess and secure AI/ML and LLM-based systems (prompt injection, data leakage, model abuse ... Scripting/automation skills (e.g., Python) a plus. Coachable and eager to learn, with a growth ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Fieldguide

Senior AI Engineer

San Francisco, CA · Remote

$190K - $255K/yr

We're based in San Francisco, CA, and built remote-first. We're backed by Goldman Sachs ... Strong command of TypeScript, Python, and Postgres * Shipped LLM-powered features serving real ...

Foresite Labs

Software Engineer, AI Agents

San Francisco, CA · On-site +1

$200K - $240K/yr

Hands-on experience building LLM/agent systems in production - agent loops, tool calling, RAG, and ... Fluency in TypeScript plus a modern backend language (Python, Go, or Java) * Working knowledge of ...

You.com

Senior Backend Engineer

San Francisco, CA · On-site +1

$200K - $250K/yr

This is a remote position open to candidates based anywhere in the United States. We give ... Primarily backend-focused (Python or similar), comfortable working across the stack when needed

Vercel

Software Engineer, Trust & Safety

San Francisco, CA · On-site +1

$196K - $294K/yr

This role blends security engineering, data analysis, and applied LLM techniques, working closely ... If you're located beyond that distance, the role is fully remote. For location-specific details ...

ArangoDB

Developer Relations

San Francisco, CA · On-site +1

$160K - $200K/yr

Location Remote - Bay Area location About the Role Step into Arango's first dedicated developer ... Hands-on, production experience with LLM applications and retrieval: RAG pipelines, embeddings ...

Arango

Developer Relations

San Francisco, CA · Remote

$160K - $200K/yr

Location Remote - Bay Area location About the Role Step into Arango's first dedicated developer ... Hands-on, production experience with LLM applications and retrieval: RAG pipelines, embeddings ...

Discord

Advertising Operations Manager

San Francisco, CA · On-site +1

$192K - $216K/yr

Python or similar strongly preferred - to build or maintain internal tooling and reporting ... York (remote) or San Francisco but if you live in the Bay Area, you're welcome to work from our ...

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All JobsPython Llm JobsRemote Python Llm JobsRemote Python Llm Jobs in Pittsburg, CA

Remote Python Llm information

See Pittsburg, CA salary details

$14

$65

$95

How much do remote python llm jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote python llm in Pittsburg, CA is $65.16, according to ZipRecruiter salary data. Most workers in this role earn between $53.70 and $73.99 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What job categories do people searching Remote Python Llm jobs in Pittsburg, CA look for?

The top searched job categories for Remote Python Llm jobs in Pittsburg, CA are:

What cities near Pittsburg, CA are hiring for Remote Python Llm jobs?

Cities near Pittsburg, CA with the most Remote Python Llm job openings:

Remote Python Llm jobs near you
Infographic showing various Remote Python Llm job openings in Pittsburg, CA as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $135,532 per year, or $65.2 per hour.

Senior Software Engineer, Observability

Together AI

San Francisco, CA • On-site, Remote

$200K - $280K/yr

Full-time

Medical

Re-posted 1 hour ago

Key responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry.

  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.

  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.

Job description

About the Role

Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.

The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.

Responsibilities

  • Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows.
  • Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.
  • Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.
  • Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis.
  • Define observability best practices.

Requirements

  • Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure).
  • Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm).
  • Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying.
  • Deep understanding of containerization (Docker) and orchestration (Kubernetes).
  • Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows.
  • Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data.

Preferred

  • Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.
  • Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.
  • Contributions to open-source observability projects.
  • Familiarity with security monitoring and compliance frameworks.
Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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