Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote ... You design modular abstractions, clean interfaces where deployment targets don't leak into ...
Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote ... You design modular abstractions, clean interfaces where deployment targets don't leak into ...
Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote ... You design modular abstractions, clean interfaces where deployment targets don't leak into ...
Software Engineer - AI-Native Full Stack Bolo AI Bay Area (Hybrid) | Salt Lake City Area (Remote ... You design modular abstractions, clean interfaces where deployment targets don't leak into ...
PIPEFITTER
Bremerton, WA · On-site +1
$40.44 - $47.19/hr
... and testing systems and equipment for proper pressures, leak-free joints, and operations ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...
PIPEFITTER
Bremerton, WA · On-site +1
$40.44 - $47.19/hr
... and testing systems and equipment for proper pressures, leak-free joints, and operations ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...
Trial Attorney (Environmental Torts Litigation)
Washington, DC · On-site +1
$85K - $197K/yr
... fuel leak from the Navy's underground Red Hill Bulk Storage Facility near Pearl Harbor, HI; and ... This is not a remote location position. You will be required to work in person five days a week.
Trial Attorney (Environmental Torts Litigation)
Washington, DC · On-site +1
$85K - $197K/yr
... fuel leak from the Navy's underground Red Hill Bulk Storage Facility near Pearl Harbor, HI; and ... This is not a remote location position. You will be required to work in person five days a week.
PIPEFITTER WORKER
Norfolk, VA · On-site +1
$31.59 - $36.86/hr
... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... testing systems for proper pressure, flow, circulation, and leak-free performance, as well as ...
PIPEFITTER WORKER
Norfolk, VA · On-site +1
$31.59 - $36.86/hr
... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... testing systems for proper pressure, flow, circulation, and leak-free performance, as well as ...
Remote Leak Testing information
What are common challenges faced by professionals in remote leak testing and how can they be addressed?
Remote leak testing professionals often face challenges such as ensuring accurate data collection from a distance, adapting to various equipment and technologies, and communicating findings effectively with on-site teams. Overcoming these challenges requires strong attention to detail, familiarity with remote monitoring tools, and proactive collaboration with maintenance and operations personnel. Regular training on emerging technologies and standardized reporting practices can further enhance accuracy and efficiency in this role.
What are the key skills and qualifications needed to thrive as a Remote Leak Testing Technician, and why are they important?
To thrive as a Remote Leak Testing Technician, you need a strong understanding of leak detection principles, fluid dynamics, and relevant safety standards, typically supported by technical training or certification in nondestructive testing (NDT). Familiarity with specialized leak detection equipment, remote monitoring systems, and data analysis software is essential. Attention to detail, problem-solving skills, and effective communication help technicians accurately interpret results and collaborate with remote teams. These skills ensure accurate leak detection, prevent costly failures, and maintain operational safety across various industrial environments.
What is the difference between Remote Leak Testing vs Remote Leak Detection Technician?
| Aspect | Remote Leak Testing | Remote Leak Detection Technician |
|---|---|---|
| Certifications | HVAC, plumbing, or industry-specific leak testing certifications | Same certifications as leak testing, often including specialized detection training |
| Work Environment | Testing equipment remotely, often in industrial or commercial settings | Using detection tools remotely, inspecting systems or equipment |
| Industry Usage | Manufacturing, HVAC, plumbing, industrial facilities | Industrial, manufacturing, utility sectors |
| Job Focus | Performing leak tests remotely to identify leaks | Detecting leaks remotely using specialized tools and techniques |
Remote Leak Testing involves performing leak assessments remotely, often using specialized equipment to identify leaks in various systems. Remote Leak Detection Technicians focus on using detection tools to locate leaks without direct contact. Both roles require similar certifications and work environments, but their specific tasks differ slightly. Understanding these differences helps in choosing the right career path or service.
What is remote leak testing?
Remote leak testing is a process used to detect and locate leaks in systems such as pipelines, tanks, or industrial equipment without needing direct physical access to the site. This method often utilizes sensors, monitoring equipment, and sometimes automated or robotic tools to remotely assess the integrity of the system. Remote leak testing is valuable for ensuring safety, minimizing downtime, and reducing the need for onsite personnel, especially in hazardous or hard-to-reach environments.
More about Remote Leak Testing jobs
What cities are hiring for Remote Leak Testing jobs? Cities with the most Remote Leak Testing job openings:
What are the most commonly searched types of Leak Testing jobs? The most popular types of Leak Testing jobs are:
What states have the most Remote Leak Testing jobs? States with the most job openings for Remote Leak Testing jobs include:
What job categories do people searching Remote Leak Testing jobs look for? The top searched job categories for Remote Leak Testing jobs are:
Full-time
PTO
Posted 11 days ago
Job description
Software Engineer - AI-Native Full Stack
Bolo AI
Bay Area (Hybrid) | Salt Lake City Area (Remote) | Full-Time Senior Engineer
The Role Has Changed
Three person engineering teams are building what used to take thirty. Not by working harder, but by working differently. The engineers shipping at this pace don't write code. They write specs precise enough that agents implement them correctly. They build harnesses. CI gates, structural tests, linting rules, and architectural enforcement that mechanically prevent entire classes of agent mistakes. They design validation systems where agents write the tests and humans verify that features actually work from the user's perspective.
The code is a generated artifact. The spec, the harness, and the validation infrastructure are what engineers maintain.
This is how we work at Bolo.ai. We're hiring engineers who already work this way, or who have the depth to start.
The Company
Bolo AI is building the AI company for heavy industry.
These are the sectors the world depends on: energy, utilities, manufacturing, and industrial operations. They have been underserved by modern software and AI for too long. We are changing that with AI built for their messy, high-stakes operational reality.
Customers are already using Bolo to catch critical equipment failures, recover hidden cost impact, automate operational workflows, and put decades of industrial data to work.
Backed by True Ventures, Benchstrength, Accomplice, Analog Ventures, and Beat Ventures, we are a small, AI-native team working close to the customer to make their daily work faster, safer, and better.
The Work
You'll spend your time on four things:
7+ years of engineering experience, applied at a higher altitude. You need years of building and debugging production systems. Not because you'll write every line, but because you can't design a harness that catches real failures, write a spec that anticipates edge cases, or diagnose a broken feature across the full stack without that foundation. The depth serves the abstraction.
Systems thinking over code fluency. How components interact. Where failures cascade. What breaks when requirements change. What to anticipate before it happens. This is what agents are worst at and what matters most.
An agent-driven workflow. You already direct AI agents (Claude Code, Codex, Cursor, or similar) to handle implementation while you focus on architecture, specification, and validation. Or you have the engineering judgment to make that transition and the motivation to do it now.
Experience building the infrastructure around agents. CI enforcement, scenario-based testing, documentation systems agents can consume, structured knowledge bases - you've built some of this, or you have specific ideas about how and why.
Comfort making decisions with incomplete information. Startup. Requirements shift. The right approach isn't always obvious. You move forward, and you know when to ask versus when to make a call.
Direct communication. You give and receive honest feedback. You can disagree with a decision, say so clearly, and still commit to the outcome. We care about getting it right more than being right.
Enthusiasm for a field that reinvents itself quarterly. Tools change. Workflows get replaced. Best practices from three months ago become obsolete. You're energized by that. You see this as the most interesting period in the history of software.
About Us
Small, senior-leaning engineering team. Real ownership, direct impact, no layers between you and the work. We expect a lot from each other and give each other the room to deliver.
Sustainable pace over heroic sprints.
What We Offer
Bolo AI is headquartered in Palo Alto, backed by True Ventures, Benchstrength, Accomplice, J Ventures, and Beat Ventures.
Hiring Process
We evaluate how you work in an AI-native workflow. AI tool usage is expected, not just permitted. We're looking at engineering judgment. Can you write specs agents execute well against, build systems that catch real failures, and reason about problems across the full stack.
We'll be straightforward about our process, give you real information to evaluate us, and give you feedback regardless of outcome.
If this sounds like what you're already building toward, we'd like to talk.
Bolo AI
Bay Area (Hybrid) | Salt Lake City Area (Remote) | Full-Time Senior Engineer
The Role Has Changed
Three person engineering teams are building what used to take thirty. Not by working harder, but by working differently. The engineers shipping at this pace don't write code. They write specs precise enough that agents implement them correctly. They build harnesses. CI gates, structural tests, linting rules, and architectural enforcement that mechanically prevent entire classes of agent mistakes. They design validation systems where agents write the tests and humans verify that features actually work from the user's perspective.
The code is a generated artifact. The spec, the harness, and the validation infrastructure are what engineers maintain.
This is how we work at Bolo.ai. We're hiring engineers who already work this way, or who have the depth to start.
The Company
Bolo AI is building the AI company for heavy industry.
These are the sectors the world depends on: energy, utilities, manufacturing, and industrial operations. They have been underserved by modern software and AI for too long. We are changing that with AI built for their messy, high-stakes operational reality.
Customers are already using Bolo to catch critical equipment failures, recover hidden cost impact, automate operational workflows, and put decades of industrial data to work.
Backed by True Ventures, Benchstrength, Accomplice, Analog Ventures, and Beat Ventures, we are a small, AI-native team working close to the customer to make their daily work faster, safer, and better.
The Work
You'll spend your time on four things:
- Specifications. You write behavioral specs, architectural constraints, and feature requirements that agents implement against. When agent output misses the mark, you tighten the spec. Not by adding more words, but by being more precise about what "correct" means. This requires understanding the system deeply enough to define its behavior at every layer.
- Harness. You build and maintain the infrastructure that keeps agents producing reliable code. Structural tests that enforce architectural boundaries. Linting rules where every failure message teaches the agent what went wrong. CI gates that reject drift. Structured knowledge bases agents can navigate. The principle: every class of agent mistake gets a mechanical fix so it never recurs.
- Validation. Agents write the code. Agents write the tests. You verify that features work from the user's perspective, under real deployment conditions, against edge cases that matter in production. You define scenarios and acceptance criteria. You build the end-to-end checks, behavioral verification, and automation that make this trustworthy at scale. When something breaks, your job is diagnosing whether the failure is in the spec, the harness, or the agent's implementation, and fixing the right layer.
- Architecture and operations. Our systems run across cloud providers and on-premises environments. You design modular abstractions, clean interfaces where deployment targets don't leak into application logic. You own production systems used by energy companies in regulated environments where failures have real consequences. Reliability, observability, and graceful degradation matter here.
7+ years of engineering experience, applied at a higher altitude. You need years of building and debugging production systems. Not because you'll write every line, but because you can't design a harness that catches real failures, write a spec that anticipates edge cases, or diagnose a broken feature across the full stack without that foundation. The depth serves the abstraction.
Systems thinking over code fluency. How components interact. Where failures cascade. What breaks when requirements change. What to anticipate before it happens. This is what agents are worst at and what matters most.
An agent-driven workflow. You already direct AI agents (Claude Code, Codex, Cursor, or similar) to handle implementation while you focus on architecture, specification, and validation. Or you have the engineering judgment to make that transition and the motivation to do it now.
Experience building the infrastructure around agents. CI enforcement, scenario-based testing, documentation systems agents can consume, structured knowledge bases - you've built some of this, or you have specific ideas about how and why.
Comfort making decisions with incomplete information. Startup. Requirements shift. The right approach isn't always obvious. You move forward, and you know when to ask versus when to make a call.
Direct communication. You give and receive honest feedback. You can disagree with a decision, say so clearly, and still commit to the outcome. We care about getting it right more than being right.
Enthusiasm for a field that reinvents itself quarterly. Tools change. Workflows get replaced. Best practices from three months ago become obsolete. You're energized by that. You see this as the most interesting period in the history of software.
About Us
Small, senior-leaning engineering team. Real ownership, direct impact, no layers between you and the work. We expect a lot from each other and give each other the room to deliver.
Sustainable pace over heroic sprints.
What We Offer
Bolo AI is headquartered in Palo Alto, backed by True Ventures, Benchstrength, Accomplice, J Ventures, and Beat Ventures.
- Competitive compensation with equity so you share in what we build together.
- Hybrid flexibility - in-person collaboration in Palo Alto with room to work how you're most productive.
- Early-stage ownership - join at a stage where your decisions shape the product, the architecture, and the engineering culture.
- Generous PTO and flexible working hours.
Hiring Process
We evaluate how you work in an AI-native workflow. AI tool usage is expected, not just permitted. We're looking at engineering judgment. Can you write specs agents execute well against, build systems that catch real failures, and reason about problems across the full stack.
We'll be straightforward about our process, give you real information to evaluate us, and give you feedback regardless of outcome.
If this sounds like what you're already building toward, we'd like to talk.