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Live In Rws Ai Jobs (NOW HIRING)

Staff Agentic AI Engineer / AI Engineer $200,000 - $270,000 San Francisco, CA Onsite, 5x per week ... The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You'll ...

Head of AI Success

San Francisco, CA · On-site

$200K - $300K/yr

You live in metrics: NDR, churn, expansion, usage * You turn messy data into clear actions AI-native * You instinctively automate workflows using tools like Claude * You think leverage first ...

You live in metrics: NDR, churn, expansion, usage * You turn messy data into clear actions AI-native * You instinctively automate workflows using tools like Claude * You think leverage first ...

Must be a Citizen or Green Card Holder and live in the United States * B.S. in Computer Science or equivalent experience * 2+ years of professional experience as an AI / ML Engineer. * Excellent ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Qualifications : Required : • 3-7+ years of experience in data operations, AI data delivery ... RWS, TransPerfect DataForce, Welocalize, Lilt, Turing, DataAnnotation, Outlier, Remotasks, or ...

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Junior AI Agent Developer

San Juan, PR · Remote

$68K - $89K/yr

... live in. This translates into active involvement in a variety of activities and organizations ... Follow AI governance standards, including documentation, validation, and reusability practices.

Candidates must live in or be willing to relocate to one of these three cities. Job Responsibilities * Build and evolve TENEX's internal AI platform: a reusable foundation of tools, custom skills ...

AI-native mindset-you live in Claude, Cursor, v0, and often max out your daily LLM limits * Technical fluency-you can scope webhook systems, OAuth flows, and complex integrations * Builder mentality ...

Growth Marketing Specialist

Manhattan, NY · On-site +1

$95K - $115K/yr

Strong command of AI tools for content, creative, and workflow automation. You'd rather ship 10 versions than perfect 1. * Shipper. You can take a campaign from idea to live in days, not weeks. You ...

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Live In Rws Ai information

See salary details

$62K

$119.8K

$166K

How much do live in rws ai jobs pay per year?

As of Jun 30, 2026, the average yearly pay for live in rws ai in the United States is $119,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Live In Rws Ai vs Live In Rws Caregiver?

AspectLive In Rws AiLive In Rws Caregiver
Required CredentialsBasic caregiving certification, first aidCaregiver certification, CPR, background check
Work EnvironmentAssisting elderly or disabled in private homesProviding personal care and support in private homes
Employer & IndustryHealthcare and eldercare industryHome care services, eldercare industry

Live In Rws Ai and Live In Rws Caregiver roles both involve providing in-home support to clients. However, Live In Rws Ai typically requires less specialized certification and focuses on assisting with daily activities, while Live In Rws Caregiver often demands formal caregiving credentials and a broader scope of personal care tasks. Both roles are integral to the eldercare industry and share similar work environments.

More about Live In Rws Ai jobs
What cities are hiring for Live In Rws Ai jobs? Cities with the most Live In Rws Ai job openings:
What are the most commonly searched types of Rws Ai jobs? The most popular types of Rws Ai jobs are:
What states have the most Live In Rws Ai jobs? States with the most job openings for Live In Rws Ai jobs include:
What job categories do people searching Live In Rws Ai jobs look for? The top searched job categories for Live In Rws Ai jobs are:
Infographic showing various Live In Rws Ai job openings in the United States as of June 2026, with employment types broken down into 18% Part Time, 9% Temporary, and 73% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $119,772 per year, or $57.6 per hour.

Staff Engineer - Agentic AI

DEEPREC.AI

San Francisco, CA • On-site

$200K - $270K/yr

Full-time

Posted 19 days ago


Key responsibilities

  • Own the agent intelligence layer that interprets engineer intent and executes tasks across complex desktop software.

  • Lead the development and improvement of evals infrastructure and agent benchmarking for performance measurement.

  • Make architecture decisions including tool-calling strategy, state management, context handling, model routing, and error recovery.


Job description

Staff Agentic AI Engineer / AI Engineer
$200,000 - $270,000
San Francisco, CA
Onsite, 5x per week in office
Full time / Permanent
Most "agentic AI" roles are still research projects dressed up as products.
This one isn't. The agent is live, in production, handling real workflows for Tesla, BMW, Meta, and Amazon. You'll be in the codebase from day one, improving an agent that's already shipping, not starting from a blank page.
This company builds AI-powered automation for mechanical engineers - Claude Code for CAD, CAE, and PLM workflows. $32M raised, backed by Eric Schmidt and early investors in Anthropic and OpenAI. Over 1,000 customers running production workflows on the platform.
They're hiring a Staff Engineer to own the agent intelligence layer, the system that takes an engineer's intent and executes it reliably across complex desktop software.
What you'd own:
  • Evals infrastructure and agent benchmarking - defining what "good" looks like for a domain with no established benchmark
  • Agent harness build-out and ongoing performance improvement (task success rate, token efficiency, workflow coverage)
  • Architecture decisions: tool-calling strategy, state management, context handling, model routing, error recovery
  • Technical leadership of a small team of AI engineers - player-coach, not pure manager

The profile they're looking for:
  • Proven expertise building agentic systems into production. Systems that take real actions - tool-calling, multi-step state, failure handling, cost constraints. Ideally 2 years
  • Strong on evals: task completion, failure mode analysis, regression detection
  • Production-first mindset - you'd rather ship 70% coverage reliably than demo a clever system you can't measure
  • Builders over researchers. Too much academic background is a flag here

Desktop automation experience is nice-to-have. Mechanical engineering background is nice-to-have. Experience taking agentic systems into production is the bar.