AI Fullstack Engineer (Remote)

Experience: 4.00 + years

Salary: INR 3000000-4999997 / year (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: A human-in-the-loop infrastructure platform that connects AI agents with verified experts in real time)

(*Note: This is a requirement for one of Uplers' client - A human-in-the-loop infrastructure platform that connects AI agents with verified experts in real time)

What do you need for this opportunity?

Must have skills required:

MCP Integration, Routing Logic, Stripe Connect, PostgreSQL, Websockets, AI Coding Agents, Python, FastAPI, React Js, Next Js, React Native

A human-in-the-loop infrastructure platform that connects AI agents with verified experts in real time is Looking for:

AI Full-Stack Engineer – Humwork (YC X26)

About Humwork

Humwork is building the real-time marketplace where AI agents call human experts when they get stuck. Think Waymo's remote driver assistance—but for AI coding agents. When Claude Code or Cursor hits a wall, our MCP server connects it to a vetted human expert in seconds.

We're in YC's Spring 2026 batch. Two founders. Moving fast. We're looking for a single exceptional engineer who can own the full picture: from the AI intelligence layer that decides when agents need help, to the real-time infrastructure that connects them with experts, to the mobile app that puts jobs in experts' hands.

What You'll Do

AI & Agent Intelligence

Platform & Infrastructure

Autonomous Escalation Systems: Design and implement the core intelligence that detects when coding agents need human help—balancing accuracy with appropriate escalation frequency

MCP Server Architecture: Build robust, scalable MCP server integrations across Cursor, Claude Code, Lovable, and other coding agents

AI-to-Human Handoff Pipeline: Develop and optimize the real-time, low-latency handoff from AI agent to human expert—prompt engineering, tool descriptions, trigger conditions, context packaging

AI Agent Orchestration: Design sophisticated prompting and tool-calling systems that enable natural conversation between AI agents and human experts

Experimentation & Benchmarking: Run A/B tests on prompts, benchmark agent performance against baselines, and optimize call frequency and resolution quality

Platform & Infrastructure

Real-time Communication Systems: Architect WebSocket infrastructure supporting thousands of concurrent AI-expert sessions—reconnects, message ordering, connection scaling, timeout handling, and message reliability

Scalable Backend: Design and build the FastAPI backend end-to-end—expert matching, session management, billing, analytics, and API design

Expert Routing Engine: Create algorithms that match coding problems to the most suitable available expert based on skillset, language, timezone, availability, and problem context

Database & Data Layer: Own schema design, complex queries, connection pooling, real- time data synchronization, and caching strategies with PostgreSQL and Redis

Product & User Experience

Expert Mobile App: Build and ship the expert-facing mobile app (React Native/Expo) with Uber-style push notifications, real-time chat, and availability controls

Web Dashboard: Develop the web-facing dashboard (Next.js) for analytics, onboarding, and session management

Expert Marketplace Platform: Implement onboarding flows including identity verification, skill assessment, credential verification, and availability scheduling

Payments: Integrate Stripe Connect for multi-party payment flows—expert payouts, platform fees, and billing

You Should Apply If

• You use AI coding agents (Claude Code, Codex, Cursor) daily and are a power user of it
• You've built with MCP servers, LLM tool-calling, or AI agent frameworks
• You understand prompt engineering at a deep level—not just writing prompts, but designing system instructions that shape agent behavior
• Expert-level Python: FastAPI, async programming, and LLM API integrations
• Strong experience with React/Next.js and building production web applications
• You've built real-time systems with WebSockets—and you know how to handle reconnects, message ordering, and connection scaling
• Comfortable with PostgreSQL and ORMs (SQLAlchemy or similar), plus Redis for caching, pub/sub, and queue management
• You've shipped mobile apps (React Native preferred) or PWAs with push notifications
• Cloud infrastructure experience: AWS/GCP deployment, containerization, CI/CD
• You can prototype fast and know when to reach for Opus 4.6 vs. 5.3 Codex
• You thrive at the intersection of product, research, and engineering—and can own features end-to-end from schema design to shipped UI
  
  
  

Bonus Points

• You've contributed to or built MCP servers/plugins
• Experience with autonomous agent frameworks (CrewAI, AutoGen, etc.)
• You've built marketplace or on-demand matching systems (expert routing, driver dispatch,etc.)
• Familiarity with Stripe Connect or multi-party payment flows
• You've benchmarked AI agent performance or worked on evals
• Background in human-computer interaction, developer tools, or gig economy platforms
• Open-source contributions in relevant technologies
• Background in human-computer interaction, developer tools, or gig economy platforms
• Open-source contributions in relevant technologies
  
  
  

What We Offer

Equity: Ownership in a Y Combinator company with clear path to liquidity

Ownership: You'll be the engineering team along with the technical founders. You'll be part of every system, every decision, every architecture call.

Impact: Define how AI agents and humans collaborate

Growth: Work directly with YC partners and experienced founders at a company building for a $100B+ market

Flexibility: Remote-first, core hours overlap with US Pacific Time

Interview Process

• Interview with founders
• Technical screening (AI systems + WebSocket architecture + database scaling)
• AI Code review and pair programming session
  
  
  

Apply With

GitHub showcasing relevant projects

Brief note on why AI-human collaboration excites you

Your experience with coding agents (Cursor, Claude Code, etc.)

We're especially interested in candidates who are excited about the intersection of AI and human expertise—and who want to build the infrastructure that makes both better.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!