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Full Stack AI Engineer - Product Development Lifecycle Platform

Work from anywhere
PST/PDT/CIST | Partial overlap
40 hrs/wk
Short term

Role and Job Type

Engineering
Freelance

Experience

5 - 10 years

Rate

$90/hr

Est. Value $93,600

Status

Job filled

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Skills

Top Skills

Artificial Intelligence
JavaScript
Rest API

Other Skills

Agile
API
DevOps
Docker
JIRA
Machine Learning
Postgres
React
SQL
TypeScript

Job description

1-Month Contract Position, potential for longer-term

Position Overview

We're seeking an experienced Full Stack Engineer with strong AI/LLM expertise to build an innovative AI-powered product development lifecycle management platform. This system will revolutionize how product requirements are gathered, processed, and managed throughout the development cycle, integrating with existing tools while leveraging advanced AI capabilities.

Project Scope

Build a sophisticated platform that sits above JIRA to streamline the product development lifecycle, including:

  • AI-driven requirements gathering system
  • Automated PRD creation and management
  • Integration with multiple data sources (Gong, JIRA, Preset)
  • Product pipeline management with executive decision support
  • Automated status reporting and updates

Key Responsibilities

  • Design and implement a full-stack application using Node.js and PostgreSQL
  • Build robust API integrations with various platforms (Gong, JIRA, etc.)
  • Implement AI/LLM capabilities for processing and analyzing requirements
  • Create a clean, maintainable codebase with proper documentation
  • Containerize the application using Docker
  • Collaborate with internal AI team for ML service integration
  • Work with Product Manager to ensure all requirements are met

Required Technical Skills

  • 5+ years of full-stack development experience
  • Strong proficiency in:
    • Node.js and modern JavaScript/TypeScript
    • PostgreSQL
    • Docker containerization
    • REST API development and integration
    • Material UI/React for frontend development
  • Extensive experience working with:
    • Large Language Models (LLMs)
    • API integrations with enterprise systems
    • Modern AI/ML frameworks
  • Solid understanding of product development lifecycles and PM tools

Nice to Have

  • Experience with:
    • JIRA API integration
    • Gong or similar conversation intelligence platforms
    • Business intelligence tools like Preset
    • Agile development methodologies
    • DevOps practices

Project Requirements

  • Clean, modular code with proper documentation
  • Dockerized application for easy deployment
  • Comprehensive API documentation
  • Knowledge transfer documentation

Working Requirements

  • 1-month contract duration, potentially longer-term
  • Minimum 2 hours overlap with PST working hours
  • Daily/weekly check-ins with Product Manager
  • Ability to work independently while maintaining clear communication

Deliverables

  1. Requirements gathering module with AI assistance
  2. PRD management system with version control
  3. Product pipeline management interface
  4. Integration with existing tools (JIRA, Gong, Preset)
  5. Automated reporting system
  6. Complete technical documentation

Success Criteria

  • Functional MVP delivered within the 1-month timeframe
  • Clean, documented, and containerized codebase
  • Successful integration with required external systems
  • Smooth handover to internal team

What We Provide

  • Clear product requirements and specifications
  • Access to necessary API documentation and credentials
  • Support from internal AI team for ML services
  • Direct access to Product Manager for quick decision-making
  • Infrastructure and security management

Application Process

Please provide:

  • Recent relevant experience with AI/LLM projects
  • Examples of similar integrations you've built
  • Availability for PST overlap hours
  • Brief technical approach to this project

About Us

We're building cutting-edge tools to revolutionize the product development process using AI. This project is part of our larger initiative to make product development more efficient and data-driven while maintaining human oversight where it matters most.


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