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Open nowPosted 512 days ago

Founding AI engineer

Cobolcopilot1 open role

Pay
$75,000 – $120,000 a yearly
Where
Thailand
Work mode
Remote
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Your applicationOpen nowFounding AI engineerCobolcopilot · Thailand

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This job: posted 512 days ago

The posting

You'll be Employee #3, working directly with us to build technology that will modernize the backbone of global commerce. This isn't incremental improvement—this is category creation.

The Technical Challenge:

  • Design and implement transformer architectures specifically optimized for COBOL→Java/Python translation
  • Build real-time code analysis engines processing millions of lines with sub-second latency
  • Create enterprise-grade AI pipelines handling Fortune 100 codebases with zero tolerance for error
  • Architect distributed systems supporting concurrent modernization of 50+ million line codebases

What We Demand (Non-Negotiable)

Technical Mastery:

  • 8+ years building production AI/ML systems at scale (not research, not prototypes—systems handling real user traffic)
  • Deep expertise in transformer architectures, fine-tuning, and custom model development
  • Proven track record optimizing inference for enterprise workloads (sub-100ms response times)
  • Systems engineering excellence: distributed computing, microservices, cloud-native architecture
  • Battle-tested experience with PyTorch/TensorFlow, CUDA optimization, and model deployment

Founding DNA:

  • 0→1 product builder: You've taken ideas from whiteboard to millions of users
  • Technical leadership: You've hired and led engineering teams of 10+ engineers
  • Ownership mentality: You think like an owner because you've been one

Enterprise Credibility:

  • B2B product intuition: You've built products that CFOs and CTOs actually buy and deploy
  • Performance obsession: You've optimized systems handling billions of transactions with 99.99% uptime

What Sets You Apart from 99.9% of Engineers

  • You've shipped AI products that generated $10M+ in revenue
  • You can debug transformer attention mechanisms as easily as you debug distributed systems
  • You've led technical due diligence for VC firms or been the technical founder VCs bet on
  • You speak both languages: You can explain neural architecture to PhD researchers and ROI to enterprise buyers
  • You have pattern recognition from seeing multiple 0→1 journeys and know what actually scales

The Opportunity

Immediate Impact:

  • Technical co-founder role with significant equity upside
  • Direct partnership with CEO on product strategy and technical vision
  • Ownership of entire AI engineering organization as we scale to 100+ engineers
  • Platform architecture decisions that will define a multi-billion dollar market

Market Timing:

  • Zero real competition in AI-powered COBOL modernization
  • Massive tailwinds: Every enterprise needs this, regulatory pressure increasing, COBOL talent retiring

Financial Upside:

  • Equity package designed for 10x+ returns based on current traction. (2% equity vesting in 4 years)
  • Fast-track to CTO as we scale through Series B and beyond
  • Life-changing wealth creation opportunity in a category we're defining

What We Offer Beyond Compensation

  • Unlimited PTO (because we hire people who don't need to be managed)
  • $5K annual learning budget for conferences, courses, and technical development
  • Top-tier health/dental/vision with 100% company coverage
  • Latest hardware: M3 MacBook Pro, multiple 4K monitors, whatever you need to be productive
  • San Francisco office in SOMA with optional remote flexibility

The Interview Process (Designed for Busy Founders)

  1. 30-minute technical screen with our CEO (we respect your time)
  2. Technical deep-dive (4 hours): Architecture design + live coding + system design
  3. Product strategy session (2 hours): How would you scale our AI platform?
  4. Reference calls with previous co-founders/technical leaders you've worked with
  5. Final conversation about equity, role scope, and mutual fit

Apply Only If:

  • You have concrete examples of AI systems you've built that handle enterprise workloads
  • You can start within 30 days (we're moving fast and need someone who can too)
  • You're excited about legacy modernization as a massive market opportunity, not just another AI application
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