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Remote Audio Engineer From Home Jobs in California

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Remote Audio Engineer From Home information

What is the difference between Remote Audio Engineer From Home vs Remote Sound Technician?

AspectRemote Audio Engineer From HomeRemote Sound Technician
CredentialsAudio engineering degree or certification, proficiency with DAWsAudio or sound technology certification, technical skills
Work EnvironmentHome studio setup, remote collaborationHome or remote, often supporting live or recorded sound
Industry UsageMusic production, film, broadcasting, podcastsEvent support, live streaming, post-production
Search & Comparison IntentFocus on audio mixing, editing, and production remotelyFocus on sound support and technical setup remotely

Remote Audio Engineers From Home primarily focus on music, film, and media production, handling mixing and editing tasks remotely. Remote Sound Technicians support live or recorded sound setups, often assisting with technical support and equipment remotely. While both roles require technical skills and remote work capabilities, their primary functions and industry applications differ slightly.

What are the most commonly searched types of Remote Audio Engineer jobs in California?

The most popular types of Remote Audio Engineer jobs in California are:

Remote Audio Engineer From Home jobs near you

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

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago

Job 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

Looking to hire an LLM Application Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire LLM Application Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.ginastechjobs.com.

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