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Arc Exclusive
Arc Exclusive

Full-Stack LLM MVP Developer (Python, Node, React) - FT - Worldwide (CET)

Location

Remote anywhere

Hourly rate

Hourly rate

Min. experience

5+ years

Hours per week

35 hours

Duration

6 weeks

Required skills

PythonLLMReact

Freelance job
Posted 5 hours ago
Apply now
Actively recruiting / 14 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

Title: Senior Full-Stack Developer / LLM Consultant (Contract: 6 Weeks)

Project: Relei — AI-Powered Proposal Direction MVP

The Role

We are seeking an experienced, pragmatic full-stack contractor to rapidly rebuild and deliver a Minimum Viable Product (MVP) for our B2B consulting platform, Relei. This 6-week engagement requires you to own the entire technical stack, transforming an existing code foundation and a detailed specification into a stable, pilot-ready application. Success hinges on exceptional LLM prompt engineering and a commitment to MVP principles (build simple, avoid unnecessary complexity).

Key Responsibilities:

  • Full-Stack Development: Build the backend (Python/Node.js) and frontend (React/SPA) from scratch/existing partial codebases within a 6-week deadline.
  • LLM Integration & Prompt Engineering: Integrate with commercial LLMs (e.g., OpenAI, Anthropic) and develop high-quality, structured prompts to generate a Structured Brief, Point of View (PoV), and Proposal Outline.
  • Data Handling: Implement file ingestion for DOCX/PDF/CSV and handle multi-agency configuration via simple JSON files.
  • Multi-Config Architecture: Design the backend to load and utilize different agency configuration files per request (B++ Multi-Config Mode) without requiring a database or user login.
  • Core Feature Delivery: Implement the PoV generation and the minimal PPTX slide export focusing on "Understanding of the Ask" and "PoV" slides.

Required Technical Skills:

  • Full-Stack: Expert proficiency in Python (e.g., Flask/FastAPI) or Node.js (Express) AND a modern frontend framework (React preferred).
  • LLM/AI: Proven experience in using commercial LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and implementing guardrails.
  • Data & File Handling: Experience with text extraction from common formats (DOCX/PDF) and CSV parsing.
  • Utilities: Familiarity with a PPTX generation library (e.g., python-pptx or PptxGenJS).
  • Ways of Working: Experience with Agile/MVP development, frequent check-ins, and Git/GitHub.

Non-Goals (Avoid):

  • No User Authentication, Database, or true SaaS Multi-Tenancy.
  • No Complex Multi-Agent Systems or Deep Vector DB/Knowledge Graph ingestion.

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