Talantix.io
Forge•09.02.26
AI SCORE 8.5

Forward Deployed Engineer (Full-Stack) - AI Automation

$150K–$220K/year
RemoteAI AutomationVisa
AI•Automation•Software Engineering•Full-Stack Development•Process Mining•Programming

About the Role

We are seeking a Forward Deployed Engineer (Full-Stack) remote to join our innovative team at Forge, a Series A AI automation startup. This role offers a unique opportunity to work directly with enterprise customers to automate complex workflows using AI technology. If you are passionate about engineering and customer interaction, this could be the perfect fit for you.

What You'll Do

  • Conduct deep process mining with customers to break down ambiguous workflows.
  • Build robust automations using Forge’s AI and English-based programming model.
  • Architect solutions that scale reliably from pilot to full production.
  • Work directly with customer teams to iterate, deploy, and drive adoption.
  • Own deployments end-to-end, from discovery through rollout.
  • Define best practices that shape how Forge deploys to future customers.

Requirements

  • Real-world software engineering experience (full-stack or backend-leaning).
  • Ability to build and reason about end-to-end systems, not just isolated components.
  • Strong communication skills to explain technical ideas clearly to users.
  • Ability to thrive in ambiguous, fast-moving environments.
  • Ownership of outcomes, not just tasks.

Nice to Have

  • Experience as a Forward Deployed or Solutions Engineer with strong technical depth.
  • Background as a founding engineer or ex-founder.
  • Software engineers who’ve transitioned into product, consulting, or customer-facing roles.

What We Offer

  • Competitive salary ranging from $150K to $220K.
  • Equity options in a growing startup.
  • Visa sponsorship available for international candidates.
  • Collaborative in-person culture with a focus on speed and customer proximity.
  • Opportunity to work on cutting-edge AI automation projects.

Join us as a Forward Deployed Engineer (Full-Stack) remote and be part of a small, talent-dense team that is making significant impacts in the AI automation space. Apply now to take the next step in your career!

Why This Job8.5 of 10

This role offers a unique opportunity to work at the intersection of engineering and customer interaction in a fast-paced AI automation startup.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in AI technologies such as TensorFlow or PyTorch, with hands-on experience in implementing machine learning models for automation in a full-stack environment.

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Self-motivated and adaptable, thriving in a remote work setting while effectively managing time and prioritizing tasks to meet customer needs and project deadlines.

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Experience in process mining techniques, with a mindset focused on analyzing workflows and identifying automation opportunities to enhance operational efficiency.

Learning Resources

→AI For Everyonecourse
→Full-Stack Open 2023course
→Understanding Process Miningarticle

Career Path

Forward Deployed Engineer (Full-Stack) - AI Automation(Now)→Technical Lead - AI Automation(1-2 years)→Engineering Manager - AI Solutions(3-5 years)

Market Overview

Market Size 2024
$190B
Annual Growth
20.5%
AI Adoption
75%
Investment
+30%
Labour Demand
+25%
Avg Salary
$120K

Skills & Requirements

Required
AIAutomationSoftware Engineering
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
jQueryAngularJS 1.x

Domain Trends

Rise of AI-Driven Automation
Over 60% of organizations are implementing AI-driven automation solutions to enhance operational efficiency, leading to a surge in demand for skilled engineers.
Shift Towards Cloud-Native Development
By 2025, 90% of all applications will be cloud-native, requiring full-stack developers to be proficient in cloud technologies and microservices architecture.
Increased Focus on Ethical AI
With 83% of consumers concerned about AI ethics, companies are prioritizing transparency and accountability in AI solutions, creating new roles for engineers focused on ethical AI practices.

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