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From Home Protocol Engineer Jobs (NOW HIRING)

LayerZero Labs

Staff Solutions Architect

Manhattan, NY · On-site

$69.25 - $91.50/hr

... from protocol engineers to C‑level executives. • Build and validate POCs and pilot integrations, often writing or reviewing code (e.g., smart contracts, backend services, or sample apps) to prove ...

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From Home Protocol Engineer information

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$33K

$89.2K

$142K

How much do from home protocol engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for from home protocol engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What does a from home protocol engineer do?

A remote protocol engineer designs, develops, and maintains communication protocols used in networking and data transfer systems. They troubleshoot issues, optimize performance, and often work with network security tools, requiring knowledge of programming, networking concepts, and sometimes certifications like CCNA or CCNP. Their work is typically performed in a home office environment with collaboration through remote communication tools.

What kind of from home protocol engineers can work from home?

From home protocol engineers typically work remotely designing, testing, and maintaining network protocols and systems. They often require strong technical skills, knowledge of networking tools, and certifications such as CCNA or CCNP. These roles usually involve a home office setup with reliable internet and may follow standard business hours.

What is the difference between From Home Protocol Engineer vs Network Support Specialist?

AspectFrom Home Protocol EngineerNetwork Support Specialist
CredentialsNetworking certifications (e.g., CCNA), technical degreesNetworking certifications, technical training
Work EnvironmentRemote, home-based setupOn-site or remote, depending on employer
Industry UsageIT, telecommunications, networking companiesIT support, service providers, corporate networks
Job FocusDesigning, testing, and maintaining network protocols remotelySupporting and troubleshooting network issues

The From Home Protocol Engineer primarily focuses on designing and maintaining network protocols remotely, often requiring specialized certifications. In contrast, the Network Support Specialist provides technical support and troubleshooting for network issues, which may be on-site or remote. Both roles are essential in the networking industry but differ in their core responsibilities and work environments.

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Cities with the most From Home Protocol Engineer job openings:

What are the most commonly searched types of Protocol Engineer jobs?

The most popular types of Protocol Engineer jobs are:

What states have the most From Home Protocol Engineer jobs?

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From Home Protocol Engineer jobs near you
Infographic showing various From Home Protocol Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

Company Description
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.
Qualifications
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!
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