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Arc Exclusive
Arc Exclusive

Full-Stack AI Developer (MVP, Langgraph) - Fulltime - NA/LATAM/EU

Location

Remote restrictions apply
See all remote locations

Hourly rate

Hourly rate

Min. experience

5+ years

Hours per week

40 hours

Duration

12 weeks

Required skills

PythonPostgreSQLNext.jsPydanticLanggraph

Freelance job
Posted 6 hours ago
Apply now
Actively recruiting / 19 applicants

We’re here to help you

Sole is in direct contact with the company and can answer any questions you may have. Email

SoleSole, Recruiter

About the company

Lucro is an AI-powered R&D tax credit documentation service for US-based, VC-backed technology startups. We identify qualifying R&D expenditures, calculate the federal credit under IRS Section 41, and deliver a complete, audit-ready Form 6765 package to the client in under one week — replacing a process that traditionally takes 8–12 weeks with a human consultant. We are pre-launch and looking for a single, highly capable engineer to build the full product from the ground up.

THE ROLE

You will be the sole engineer building Lucro's MVP. This is a full-stack role that spans AI agent pipeline design, API development, and a clean client-facing web application. The product is well-specified — the architecture, tech stack, and core logic have been designed in detail. Your job is to bring it to production. You are comfortable owning the entire s

What You'll Build

AI Agent Pipeline
LangGraph-based stateful agent workflow for QRE classification and Form 6765 preparation
Pydantic AI structured data extraction from payroll records, invoices, and project docs
NeMo Guardrails integration for PII detection, input validation, and output safety
Claude 3.5 Sonnet (Anthropic API) for classification reasoning and narrative generation

Backend & API
FastAPI service layer connecting the agent pipeline to the frontend
Supabase / PostgreSQL schema for clients, engagements, QRE records, and documents
Stripe integration for invoice generation and payment processing
Secure document storage and access control

Frontend
Next.js + Tailwind CSS client portal: data submission, status tracking, package download
Clean, professional UI appropriate for a B2B fintech product
Async-first design — fully digital, no in-person touchpoints

Infrastructure
AWS deployment (EC2 t3.medium for MVP; ECS is out of scope)
Environment management, secrets handling, and basic monitoring
12-week delivery timeline from signed engagement to production-ready MVP
tack, making pragmatic decisions under a tight timeline, and shipping something real.

Required Skills

Non-negotiable

  • Python (advanced): FastAPI, async patterns, data modelling
  • LangGraph: stateful agent design, multi-step pipelines, checkpointing
  • Pydantic / Pydantic AI: schema design, structured LLM output extraction
  • LLM API integration: Anthropic Claude API or equivalent; prompt engineering
  • Next.js + React: full-stack TypeScript, server components, API routes
  • Tailwind CSS: component design, responsive layout, B2B UI patterns
  • PostgreSQL: schema design, query optimisation, Supabase or equivalent
  • AWS: EC2 deployment, IAM, S3, environment configuration
  • Stripe: invoicing, payment intents, webhook handling
  • Git: clean commit history, solo project discipline

Nice to Have

  • NeMo Guardrails or equivalent AI safety framework
  • Experience with MCP (Model Context Protocol) connectors
  • Prior solo product builds shipped to production
  • Fintech, taxtech, or document automation background
  • Familiarity with IRS Form 6765 or R&D credit workflows (not required)

You Are

  • Comfortable owning an entire stack without a team around you
  • A pragmatic builder — you ship clean, not perfect
  • Proactive about ambiguity — you ask the right questions, then move
  • Proud of readable, maintainable code under a tight deadline

What We Offer

  • Clearly scoped MVP with a detailed architecture and tech stack already defined
  • Direct working relationship with the founder — fast decisions, no layers
  • Competitive contract rate, negotiated based on experience
  • Equity consideration for the right long-term fit
  • Remote and async-first working environment
  • A real product in a large, underpenetrated market — not a prototype

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