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From Home Prolog Developer Jobs (NOW HIRING)

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From Home Prolog Developer information

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$18

$45

$100

How much do from home prolog developer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for from home prolog developer in the United States is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $54.81 per hour, depending on experience, location, and employer.

What is the difference between From Home Prolog Developer vs From Home Logic Programmer?

AspectFrom Home Prolog DeveloperFrom Home Logic Programmer
Required CredentialsBachelor's in Computer Science or related, Prolog proficiencyBachelor's in Computer Science or related, Logic programming skills
Work EnvironmentRemote, software development teamsRemote, AI and reasoning system projects
Industry UsageAI, expert systems, researchAI, knowledge bases, reasoning systems
Search & Comparison IntentJob roles involving Prolog development from homeRoles focusing on logic programming from home

The main difference between a From Home Prolog Developer and a From Home Logic Programmer lies in their focus areas. Prolog Developers specialize in using the Prolog language for AI and expert systems, while Logic Programmers may work with various logic-based languages and systems. Both roles typically require similar educational backgrounds and work remotely in AI-related industries, but their specific skill sets and project types differ slightly.

More about From Home Prolog Developer jobs
What cities are hiring for From Home Prolog Developer jobs? Cities with the most From Home Prolog Developer job openings:
What are the most commonly searched types of Prolog Developer jobs? The most popular types of Prolog Developer jobs are:
What states have the most From Home Prolog Developer jobs? States with the most job openings for From Home Prolog Developer jobs include:
Infographic showing various From Home Prolog Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $94,200 per year, or $45.3 per hour.

AI Backend Engineer, Work From Home

Parallel Partners

San Francisco, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 7 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.
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