Full Stack AI/ML Engineer — 1099 Independent Contractor (Bay Area Preferred | U.S. Remote Considered)
compensation:1099 Independent Contractor
QR Code Link to This Post
Bay Area Preferred | U.S. Remote Considered | Funded R&D Project
ABOUT THE OPPORTUNITY
We are a U.S.-based technology startup working on a funded R&D project focused on agentic AI, sustainability, community engagement, and social impact.
We are seeking a hands-on Full Stack AI/ML Engineer to serve as the primary developer responsible for implementing new functionality across our existing mobile, web, backend, database, and applied AI stack.
Build and integrate AI/LLM functionality into an existing production platform
Design and implement constrained agentic AI workflows that coordinate multi-step tasks within defined application rules and safeguards
Develop Java backend services and REST APIs
Work with PostgreSQL databases and application data flows
Build web functionality using Next.js
Build mobile functionality using React Native
Implement AI evaluation, guardrails, and reliability mechanisms
Test, deploy, troubleshoot, and document functionality across the stack
Take ownership of features from technical design through implementation, testing, and deployment
Work independently while collaborating with the founder/product lead and research collaborators
REQUIRED QUALIFICATIONS
Strong full-stack software development experience
Strong experience with Java and PostgreSQL
Experience with React Native and Next.js
Practical experience integrating AI/LLMs or AI APIs into real applications
Demonstrated hands-on experience designing, coding, and testing AI agents that use tools or APIs, maintain state, make decisions, and execute multi-step workflows within defined constraints
Experience with REST APIs, cloud environments, testing, deployment, and debugging
Ability to independently manage technical deliverables across the full stack
Good engineering judgment regarding security, privacy, and responsible AI implementation
PREFERRED EXPERIENCE
LangGraph, LangChain, CrewAI, or similar agent orchestration frameworks
Retrieval-Augmented Generation (RAG)
AI evaluation, guardrails, and structured outputs
Tool/API orchestration
AWS and cloud infrastructure
Analytics and experimentation systems
Geolocation or mobile application deployment
We particularly welcome applicants with a genuine interest in sustainability, environmental responsibility, community engagement, or social impact.
COMPENSATION & ENGAGEMENT
Type: 1099 Independent Contractor
Location: San Francisco Bay Area preferred. Qualified remote candidates elsewhere in the United States will also be considered.
Duration: Anticipated 3–6-month engagement, with the actual timeline depending on project requirements and delivery efficiency.
Compensation & Workload: The project will be delivered in phases, with clearly defined deliverables, timelines, and agreed budgets. Applicants should provide their hourly rate. Selection will consider technical expertise, delivery efficiency, and overall project cost.
Applicants must be physically located in the United States, perform all project work within the United States, and be authorized to work without requiring sponsorship from the company.
Detailed technical information and system access will be shared only under appropriate confidentiality and intellectual property agreements.
HOW TO APPLY
Please include the following in your response:
Résumé or LinkedIn profile
GitHub or portfolio, if available
A brief example of a production application you helped develop across multiple parts of the technology stack
An example of an AI agent or multi-step agentic workflow you personally developed, including the tools, frameworks, and orchestration approach used. Please share a GitHub repository, demo, or technical explanation of your contribution, where available.
Your experience with React Native, Next.js, Java, PostgreSQL, and AI/LLMs
Your best hourly rate, considering the potential for a multi-month engagement
Your availability and current U.S. location
A brief note about your interest in applying technology to sustainability or social impact