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Hire Train Deploy Developer Jobs (NOW HIRING)

AbbVie

Lead Machine Learning Engineer

San Diego, CA

$108K - $143K/yr

Architect and build robust systems to train, deploy, run inference, and monitor Machine Learning ... Strong programming skills in Python and understanding of core computer science principles

Saga

Senior AI Engineer

Los Altos, CA · Remote

$107K - $146K/yr

The Role As a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and operate character AI agents at scale. You'll work across the full lifecycle -- from fine-tuning ...

REI Systems

Principal AI Engineer

Sterling, VA · On-site

The Principal AI Engineer provides strategic and hands-on technical leadership to integrate AI ... Build, train, deploy and optimize machine learning models using PyTorch, Hugging Face, Scikit-learn ...

IntePros

Forward Deployed Architect

Waltham, MA · On-site

... deploy systems in production. A critical part of this role is helping customer engineering and ... Train internal architects and engineers on AI system architecture patterns * Conduct architecture ...

Intuit

Senior Staff AI/MLE Scientist

Mountain View, CA

$210K - $284K/yr

... feature engineering hygiene, training reproducibility, deployment patterns, and post-launch monitoring. • Train, deploy, and maintain batch models that power targeting, retention, and ...

Intuit

Senior Staff AI/MLE Scientist

Mountain View, CA · On-site

$194K - $262K/yr

... engineering hygiene, training reproducibility, deployment patterns, and post-launch monitoring. Train, deploy, and maintain batch models that power targeting, retention, and personalization ...

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Hire Train Deploy Developer information

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How much do hire train deploy developer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for hire train deploy developer in the United States is $88,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is the difference between Hire Train Deploy Developer vs Software Developer?

AspectHire Train Deploy DeveloperSoftware Developer
CredentialsTypically requires basic programming knowledge, often with certifications in specific technologiesUsually holds a degree in Computer Science or related field, with strong coding skills
Work EnvironmentOften in client sites or training centers, focusing on skill development and deploymentPrimarily in office or remote settings, developing software solutions
Employer & Industry UsageUsed by staffing agencies and companies for rapid deployment of trained developersHired directly by companies for ongoing software development projects

In summary, a Hire Train Deploy Developer is trained and prepared for immediate deployment in specific projects, often with a focus on skill readiness, while a Software Developer typically has a broader, formal education background and works on developing software solutions over longer periods.

What are Hire Train Deploy Developers?

Hire Train Deploy Developers are professionals who are recruited and trained by specialized companies to meet specific client requirements before being placed on client projects. This model allows organizations to quickly fill skill gaps with candidates who have received tailored technical and soft skills training. The process ensures that developers are ready to contribute effectively from day one, reducing onboarding time and increasing project success rates.

What can I expect from the training phase as a Hire Train Deploy Developer, and how does it prepare me for client projects?

As a Hire Train Deploy Developer, the training phase is an intensive period where you’ll gain hands-on experience with the technologies and methodologies commonly used by client organizations. This training is designed to bridge any skill gaps, ensuring you're well-versed in relevant frameworks, tools, and best practices. You’ll often work on simulated client scenarios and collaborate with other trainees, fostering teamwork and communication skills that are vital on real projects. This approach not only boosts your technical proficiency but also acclimates you to the types of challenges and workflows you’ll encounter once deployed to a client site.

What are the key skills and qualifications needed to thrive as a Hire Train Deploy Developer, and why are they important?

To thrive as a Hire Train Deploy Developer, you need a strong grasp of programming fundamentals, problem-solving abilities, and typically a relevant degree or equivalent coding bootcamp experience. Familiarity with industry-standard tools such as Git, cloud platforms, and agile project management systems, as well as any required certifications, is often expected. Effective communication, adaptability, and a willingness to learn are crucial soft skills, especially when transitioning between client projects or technologies. These skills ensure that you can quickly integrate into client teams, deliver value, and continuously upskill in a dynamic deployment model.
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Hire Train Deploy Developer jobs near you
Infographic showing various Hire Train Deploy Developer job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 7% Part Time, 14% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $88,166 per year, or $42.4 per hour.

Head of Forward Deployed Engineering

super{set} Hive Community

San Francisco, CA • On-site

Full-time

Posted 22 days ago

Job description

Head of Forward Deployed Engineering
Checksum AI - San Francisco (In-Office)
checksum.ai
The Role
Checksum is building AI that learns how software actually behaves and keeps it working. The hardest part is making that intelligence real inside messy, high-stakes production systems.
You will lead Forward Deployed Engineering: a team that works directly with customers, builds inside their environments, and turns Checksum's AI into something that delivers real, measurable outcomes.
This is a player-coach role. You will define how we deploy, implement, and scale our product in the field. You will set the bar for what "good" looks like. You will take on the hardest implementations yourself. And the patterns you discover will shape the product. If you're looking to manage from a distance, this is not the role for you.
What You'll Own
Customer Delivery
  • Lead end-to-end customer implementations: discovery, integration, deployment, and scale
  • Build and operationalize AI-driven testing pipelines inside real production environments
  • Reduce time from onboarding - value through strong scoping and execution discipline
  • Own Proof of Concept and Proof of Value work with clear success criteria and outcomes
  • Turn successful deployments into long-term adoption and expansion; you directly drive revenue and delivery
  • Define clear success criteria, timelines, and measurable outcomes for every engagement
  • Take on the most complex or high-stakes deployments yourself

Your accountability: customers getting real, durable value from the product
The Forward Deployed Engineering Function
  • Build and lead a high-performing FDE team
  • Hire engineers who can operate across product, customer, and systems
  • Coach the team on how to navigate ambiguity, customer dynamics, and technical depth
  • Set the quality bar for what gets shipped in customer environments
Product Feedback Loop
  • Translate customer implementations into product insights and identify repeatable patterns across deployments
  • Partner closely with the Co-Founder and engineering to turn patterns into product capabilities
  • Help define where the line sits between custom work and core platform
  • Work across customer stakeholders (engineering, QA, product, leadership) to align on outcomes, trade-offs, and timelines
  • Partner closely with sales, product, and engineering to navigate ambiguity and drive decisions in high-stakes situations
  • Handle real-world friction: conflicting priorities, unclear requirements, and evolving scopes
The Playbook
  • Establish disciplined approaches to scoping, delivery, and tracking outcomes across engagements
  • Define how Forward Deployed Engineering operates at Checksum
  • Establish standards for implementation, code quality, and testing reliability
  • Document what works, what fails, and what scales
  • Create repeatable approaches that reduce reinvention across customers
  • Ensure projects are predictable, not just successful
Staying Close to the Work
  • Write, review, and debug code in JavaScript and TypeScript
  • Build and evolve end-to-end test automation systems (Playwright or similar)
  • Solve edge cases in CI/CD pipelines, environments, and test reliability
What Success Looks Like
In the first 6-9 months:
  • Customers are live faster and expanding usage
  • A small, strong FDE team is in place and shipping consistently
  • A clear, evolving playbook exists and is actively used
  • Repeatable implementation patterns begin to emerge
  • Product improves directly because of field insights

Success Signal: better outcomes, delivered faster, with less reinvention each time
What You Bring
Must Have
  • 8+ years building and shipping production software
  • 4+ years leading engineers in fast-moving environments
  • Strong coding ability in JavaScript / TypeScript
  • Deep experience with CI/CD and test automation (unit - integration - E2E)
  • Experience working directly with customers in technical contexts
  • Strong ability to manage complex projects and drive execution against defined success metrics
  • Ability to move from ambiguity to scoped solutions that work and turn into shipped outcomes
  • A bias toward doing the work yourself, not delegating it

Technical Depth
  • Strong understanding of system architecture, APIs, and modern dev workflows
  • Experience building or scaling test automation frameworks
  • Comfort debugging real-world production issues under pressure

Nice to Have
  • Experience with Playwright or modern E2E tooling
  • Background in QA automation or quality engineering
  • Experience in AI-first or agent-driven systems
  • Experience building or scaling a solutions / forward deployed / customer engineering function
Why This Role Matters
What you build, how you deploy, and what you learn in the field will directly determine:
  • how fast we grow
  • how strong the product becomes
  • how much customers trust what we've built
What You Get
  • A defining role at an AI-first company at an inflection point
  • Direct partnership with founders and core product decisions
  • High ownership, minimal layers
  • Competitive compensation and benefits
  • Daily team lunches in-office
Compensation
Competitive salary ($170K - $225K) plus generous founding stage equity. We'll find the right package for the right person.
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