AI Summary
Contrario is hiring an Applied AI Engineer to work directly with the CTO on production AI systems. The role involves designing and implementing intelligent search, retrieval, and recommendation systems. The ideal candidate has 3+ years of meaningful AI or ML systems experience and strong TypeScript and Python proficiency.
Key Highlights
Design and implement intelligent search, retrieval, and recommendation systems
Build ML-driven ranking and retrieval systems using embeddings
Partner directly with CTO on architecture and technical prioritization
Key Responsibilities
Design and implement intelligent search, retrieval, and recommendation systems
Build ML-driven ranking and retrieval systems using embeddings
Ship full-stack production features end to end
Develop AI-native automation workflows
Launch rapidly, collect production user feedback, and iterate quickly
Technical Skills Required
Benefits & Perks
$150,000 – $239,997 base + 0.2% – 0.6% equity
Healthcare (medical, dental, vision)
Real equity ownership
Gym membership / wellness stipend
Flexible PTO
Free lunches, dinners, snacks, and drinks
Annual offsites
Nice to Have
Experience building search, recommendation, or retrieval systems
Marketplace product experience
AI-native developer workflows
Production LLM product feature ownership
AWS deployment experience
Job Description
Location: San Francisco, CA (Onsite)
Compensation: $150,000 – $239,997 base + 0.2% – 0.6% equity
Visa Sponsorship: H-1B, O-1, OPT supported
Employment Type: Full-Time
About Contrario
Contrario is a high-growth YC-backed AI startup that has reached approximately $6M ARR run rate, works with 200+ venture-backed startups, and maintains 98% repeat usage. They are aggressively scaling a rapidly growing marketplace platform and hiring an Applied AI Engineer to work directly with the CTO on production AI systems.
This is not a CRUD engineering role. The work centers on difficult AI product problems — marketplace intelligence, ranking systems, retrieval infrastructure, recruiter routing, automation workflows, and production AI systems. This is effectively an early core engineering hire with meaningful ownership over technical direction, product architecture, and execution speed.
What You'll Own
- Design and implement intelligent search, retrieval, and recommendation systems powering marketplace matching
- Build ML-driven ranking and retrieval systems using embeddings, structured signals, behavioral marketplace data, and AI workflows
- Ship full-stack production features end to end across backend systems, APIs, databases, and user-facing product surfaces
- Develop AI-native automation workflows that accelerate sourcing, candidate evaluation, and marketplace coordination
- Own core infrastructure including recruiter routing, candidate evaluation pipelines, and marketplace orchestration systems
- Launch rapidly, collect production user feedback, and iterate quickly
- Partner directly with CTO on architecture, technical prioritization, and core product evolution
- Frontend: React, TypeScript, Tailwind CSS
- Backend: NestJS, TypeScript
- Database: AWS RDS (Postgres)
- Infrastructure: AWS ECS, AWS Fargate
- AI/Data: LLMs, embeddings, vector search, retrieval pipelines, AI automation systems
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- 3+ years of meaningful AI or ML systems experience
- Strong TypeScript and Python proficiency
- Hands-on production experience with LLMs, embeddings, vector databases, retrieval pipelines, and AI workflows
- Experience designing APIs and working with relational databases (Postgres strongly preferred)
- High ownership mindset with independent execution capability
- Comfort operating in ambiguous startup environments without heavy direction
- Product-minded engineering mentality with strong UX instincts
- Ability to move fast and ship production systems consistently
- Experience building search, recommendation, or retrieval systems
- Marketplace product experience
- AI-native developer workflows
- Production LLM product feature ownership
- AWS deployment experience
- Active GitHub with strong project signal
- Founding engineer, CTO, or startup builder background
- Background from LangChain, Palantir, ByteDance, or Stripe
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
- Strong startup execution signal
- Personal AI projects demonstrating curiosity and independent building
- Ranking/retrieval system experience
- Willingness to work startup intensity and hours
- Evidence of building outside structured work environments
- Engineers looking for a traditional product or CRUD engineering role
- Those who need heavy direction or structured environments to operate
- Candidates without hands-on production AI/ML systems experience
- Healthcare (medical, dental, vision)
- Real equity ownership
- Gym membership / wellness stipend
- Flexible PTO
- Free lunches, dinners, snacks, and drinks
- Annual offsites
Interested in opportunities specifically in United State? Discover our dedicated Visa Sponsorship Jobs in United State page featuring roles from top employers in this location.
- Pending approval
- Chat with CTO
- Technical interview
- Take-home project
- Chat with CEO
- Work trial (onsite)
- Offer
- Role is fully onsite in San Francisco — please only apply if you can commit to this
- H-1B, O-1, and OPT visa sponsorship available
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