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Remote Audio Engineer From Home information
See salary details
$29.5K - $42.4K
16% of jobs
$48.3K is the 25th percentile. Wages below this are outliers.
$42.4K - $55.3K
19% of jobs
$55.3K - $68.2K
13% of jobs
The median wage is $69.7K / yr.
$68.2K - $81.1K
14% of jobs
$81.1K - $94K
10% of jobs
$100K is the 75th percentile. Wages above this are outliers.
$94K - $107K
6% of jobs
$107K - $119.9K
4% of jobs
$119.9K - $132.8K
5% of jobs
$132.8K - $145.7K
4% of jobs
$145.7K - $158.6K
8% of jobs
$158.6K - $171.5K
0% of jobs
$29.5K
$84.5K
$171.5K
How much do remote audio engineer from home jobs pay per year?
What is the difference between Remote Audio Engineer From Home vs Remote Sound Technician?
| Aspect | Remote Audio Engineer From Home | Remote Sound Technician |
|---|---|---|
| Credentials | Audio engineering degree or certification, proficiency with DAWs | Audio or sound technology certification, technical skills |
| Work Environment | Home studio setup, remote collaboration | Home or remote, often supporting live or recorded sound |
| Industry Usage | Music production, film, broadcasting, podcasts | Event support, live streaming, post-production |
| Search & Comparison Intent | Focus on audio mixing, editing, and production remotely | Focus 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.
Full-time
Medical, Dental, Vision, PTO
Posted 7 days ago
Job description
AI Backend Engineer, Work From Home
We are looking for talented AI Backend Engineers to build systems that power AI-driven decisioning, automation, and orchestration across our platform. This role sits at the core of our AI stack, between models, backend systems, and real users, where latency, correctness, reliability, and cost directly impact production experience. This is a fully remote position where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI systems. We have multiple openings for this position. This position is 100% Remote.
AI Backend Engineer Responsibilities:
- Build and operate backend systems that serve AI-powered insurance workflows in production.
- Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
- Build inference pipelines for LLM-based and AI-assisted automation systems.
- Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
- Design stable service boundaries between backend systems, ML components, and product APIs.
- Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
- Debug production issues across distributed AI systems and resolve root causes.
- Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
- Continuously improve system reliability, scalability, and performance.
AI Backend Engineer Outcomes:
- AI backend systems run reliably at scale with low latency and high availability.
- AI workflows are stable, observable, and production-ready across multiple products.
- System performance improves continuously through real-world feedback and optimization.
- Production incidents are quickly detected, diagnosed, and resolved.
- AI capabilities are seamlessly integrated into global customer and internal workflows.
AI Backend Engineer Qualifications:
- Strong backend engineering experience in production systems.
- Experience building or operating high-throughput, low-latency services.
- Familiarity with AI Systems (LLMs, Embeddings, or AI Workflows).
- Experience with distributed systems and production debugging.
- Strong understanding of APIs, data flows, and system design principles.
- Experience with observability tools (logging, monitoring, tracing).
- Strong ownership mindset and bias toward shipping.
- Comfortable working in fast-paced, globally distributed teams.
- Tech Stack: Anthropic, Artificial Intelligence (AI), Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, AI Backend Engineer, AI, Anthropic, Artificial Intelligence, Distributed Systems Tooling, Docker, Kubernetes, LLM APIs, Low Latency, Node.js, NoSQL, Observability Tools, OpenAI, Open-Source Models, Python, SQL, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
Looking to hire an AI Backend 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 AI Backend Engineers for jobs in San Francisco, California and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today!
Please check out all of our jobs at www.nextstepsystems.com.
About Next Step Systems
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Naperville, IL, US
Year founded
1995