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Quant Developer From Home Jobs in California (NOW HIRING)

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

You'll build the first ML pipelines end-to-end -- from ingesting and cleaning data, to model ... Required Competencies * 5-10+ years of experience as an ML Engineer, Quant Engineer, or similar ...

Decisive Point

Security Risk Manager

San Francisco, CA · On-site

$194 - $220/hr

... engineer the quantitative and automated foundations that let Asana continuously measure and make ... Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends ...

Asana

Security Risk Manager San Francisco

San Francisco, CA · On-site

$194 - $220/hr

... engineer the quantitative and automated foundations that let Asana continuously measure and make ... Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends ...

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All JobsQuant Developer JobsQuant Developer From Home JobsQuant Developer From Home Jobs in California

Quant Developer From Home information

What is the difference between Quant Developer From Home vs Quant Developer?

AspectQuant Developer From HomeQuant Developer
Work EnvironmentRemote, home-basedOffice-based or hybrid
Required CredentialsDegree in finance, math, or computer science; coding skillsSimilar credentials, often with additional certifications
Industry UsageFinancial firms, hedge funds, asset managersFinancial firms, trading desks, hedge funds
Search & Comparison IntentRemote work options, flexible rolesOn-site roles, traditional positions

Overall, Quant Developer From Home roles focus on remote work with similar credentials and industry usage as Quant Developer positions. The main difference lies in the work environment, offering flexibility for remote professionals.

What are the most commonly searched types of Quant Developer jobs in California?

The most popular types of Quant Developer jobs in California are:

What are popular job titles related to Quant Developer From Home jobs in California?

For Quant Developer From Home jobs in California, the most frequently searched job titles are:

What job categories do people searching Quant Developer From Home jobs in California look for?

The top searched job categories for Quant Developer From Home jobs in California are:

What cities in California are hiring for Quant Developer From Home jobs?

Cities in California with the most Quant Developer From Home job openings:

Quant Developer From Home jobs near you
Infographic showing various Quant Developer From Home job openings in California as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Job description

Company Description
Job Description
LLM Application Engineer, Artificial Intelligence (AI) Required, Work From Home
As an LLM Application Engineer, you will build the intelligence layer that powers the AI experiences. You will work at the intersection of Large Language Models (LLMs), software engineering, and product designing agent workflows, improving model behavior, and turning Artificial Intelligence (AI) capabilities into reliable user experiences. You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation systems and continuously improving AI behavior in production. This position is 100% Remote.
LLM Application Engineer Responsibilities:
- Build and ship LLM-powered applications and AI agent workflows.
- Design systems for reasoning, planning, memory, tool use and multi-step execution.
- Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.
- Integrate Large Language Models (LLMs) with APIs, databases, search, internal services, and external tools.
- Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.
- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
- Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.
- Optimize AI systems for quality, latency, and cost.
- Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.
- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.
LLM Application Engineer Outcomes:
- Artificial Intelligence (AI) features reach production quickly and deliver measurable user impact.
- LLM-powered workflows are reliable, scalable, observable, and maintainable.
- Artificial Intelligence (AI) quality improves through systematic evaluation, experimentation, and iteration.
- Artificial Intelligence (AI) workflows become increasingly predictable, efficient, and cost-effective.
- Complex AI capabilities are translated into simple, intuitive user experiences.
Qualifications
LLM Application Engineer Qualifications:
- Artificial Intelligence (AI) experience required.
- Strong software engineering fundamentals with experience building AI-powered applications.
- Hands-on experience with Large Language Models (LLMs), generative AI, or agent-based systems.
- Experience designing prompts, workflows, evaluations, or AI behavior.
- Ability to write clean, production-quality code.
- Comfortable working across abstraction layers from model to system to product.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Bias toward shipping, iteration, and continuous improvement.
- Tech Stack: Python, LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models, Agent frameworks and orchestration systems, Vector databases and retrieval systems, Backend services, APIs, and distributed systems, and PyTorch / JAX.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Agent Frameworks, AI, Artificial Intelligence, AI Agent Workflows, APIs, Application Engineer, Backend, Databases, Distributed Systems, JAX, LLM, Large Language Model, LLM APIs, OpenAI-Compatible APIs, Orchestration Systems, Python, PyTorch, UX, User Experience, Vector Databases, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Additional Information
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