E-3 Visa Machine Builder Jobs
Machine Builder roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in mechanical engineering, manufacturing engineering, or a directly related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian tradespeople and engineers who hold the right credentials.
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Get Access To All JobsAbout Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance.
We’re creating an Agent Builder Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Builders own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution.
About the Role
As a Customer Engineer, Agent Builder, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business.
You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.
In this role, you will
- Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
- Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.
- Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.
- Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.
- Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.
- Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.
- Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift.
- Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
- Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.
Your background looks something like this
- Have 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
- Native or business-level fluency in both written and spoken English and Spanish is required.
- Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.
- Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
- Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
- Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.
Even better if you have
- Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
- Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
- A Computer Science, Engineering, or Math degree, or equivalent technical experience.
- Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.
Compensation
$175K – $230K • Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:
- Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- Daily lunches and snacks in the office to keep you at your best
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $175K - $230K
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance.
We’re creating an Agent Builder Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Builders own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution.
About the Role
As a Customer Engineer, Agent Builder, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business.
You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.
In this role, you will
- Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
- Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.
- Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.
- Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.
- Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.
- Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.
- Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift.
- Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
- Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.
Your background looks something like this
- Have 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
- Native or business-level fluency in both written and spoken English and Spanish is required.
- Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.
- Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
- Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
- Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.
Even better if you have
- Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
- Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
- A Computer Science, Engineering, or Math degree, or equivalent technical experience.
- Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.
Compensation
$175K – $230K • Offers Equity
Benefits
We proudly offer the following benefits for our full-time employees:
- Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- Daily lunches and snacks in the office to keep you at your best
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
Compensation Range: $175K - $230K
See all 472+ E-3 Visa Machine Builder Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Machine Builder Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Machine Builder
Get your degree equivalency assessed early
If you hold an Australian three-year engineering degree or a trade qualification combined with work experience, get a formal credential evaluation before applying. U.S. employers need documentation confirming your qualifications meet the specialty occupation standard for the role.
Target manufacturers with active LCA filing history
Search the DOL's Labor Condition Application disclosure data to find manufacturers that have sponsored E-3 visa or H-1B visa workers in machine-building or mechanical engineering roles. Prior LCA filings signal a company already understands the sponsorship process.
Clarify the specialty occupation requirement upfront
Not every Machine Builder role qualifies for E-3 sponsorship. A position that accepts applicants without a degree in a specific field won't meet the specialty occupation standard. Confirm the job description explicitly requires a relevant engineering degree before pursuing sponsorship.
Use Migrate Mate's E-3 filing service after your offer
Once you have a signed offer letter, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork. The LCA must be certified by DOL before your consulate appointment, and errors at this stage can delay your start date significantly.
Address the employer's E-Verify obligation directly
Some manufacturing employers are already enrolled in E-Verify; others aren't and may not know E-3 workers can be verified through the system. Confirming E-Verify compatibility with HR early prevents onboarding delays once your visa is approved.
Negotiate your start date around consulate appointment availability
Machine Builder roles often have fixed production start dates. Build buffer into your offer by checking current appointment wait times at Sydney, Melbourne, or Perth before committing to a start date with your employer.
E-3 Visa Machine Builder: Frequently Asked Questions
How do I find Machine Builder jobs with E-3 visa sponsorship?
Migrate Mate is the recommended way to search, as it filters jobs specifically for Australian professionals seeking E-3 sponsorship. Generic job boards don't surface sponsorship willingness, so you can spend weeks applying to roles where employers haven't considered the process. Searching with E-3 context means you're connecting with employers who are already open to sponsoring Australian candidates.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Machine Builder role qualify as a specialty occupation for the E-3?
It depends on how the role is defined in the job description. If the position requires a bachelor's degree in mechanical engineering, manufacturing engineering, or a closely related field as a minimum entry requirement, it can qualify. Roles that accept applicants with any background or no degree, or that treat the degree as preferred rather than required, won't meet the specialty occupation standard that the E-3 demands.
How does the E-3 compare to H-1B for Machine Builder roles?
The E-3 is significantly more practical for Australian nationals pursuing Machine Builder positions. There's no lottery, no annual cap, and the visa can be renewed indefinitely in two-year increments. H-1B selection is lottery-based with roughly a one-in-four chance of selection, which makes it unreliable for time-sensitive manufacturing hires. Employers often prefer sponsoring Australians through the E-3 precisely because the timeline is predictable.
Can my employer file the E-3 LCA without prior sponsorship experience?
Yes. The LCA is filed by the employer through the DOL's FLAG system and doesn't require the employer to have sponsored workers before. The process is straightforward for a single hire, though employers new to it often underestimate the prevailing wage requirements and certification timelines. Having a filing service handle the documentation reduces the risk of errors that delay certification.