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SupportFinity™

Full Stack Software Engineer (AI + LLM Integration Focus)

SupportFinity™, San Francisco, California, United States, 94199

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Overview FRDM AI | FRDM AI | Posted Sep 23, 2025

Full-time

Entry (0-2 yrs)

Who We Are We are FRDM (pronounced free-dom), an enterprise SaaS company on a mission to transform how businesses monitor and mitigate social and environmental risks in their global supply chains. Our platform leverages big data, AI, and machine learning—including large language models (LLMs)—to help companies identify and address modern-day slavery, child labor, and other critical issues.

We are looking for a versatile Full-Stack Software Engineer with AI engineering experience, particularly in LLM integration and ethical AI development, to join our team. In this role, you’ll help design and implement scalable systems, build intelligent data pipelines, and deploy LLMs to support our next generation of supply chain intelligence tools. You’ll collaborate with engineers, data scientists, and domain experts to deliver AI-driven features that support responsible, transparent business practices.

If you’re passionate about full-stack development, AI integration, and ethical innovation, we’d love to meet you.

Essential Functions

Build full-stack applications that integrate traditional and AI-driven services, including LLM-based features for analysis, automation, and user interaction

Design and deploy scalable data pipelines that process, transform, and enrich supply chain data for use in predictive modeling and compliance workflows

Develop and maintain RESTful APIs that power our applications and support external integrations

Collaborate with AI and data teams to build, deploy, and monitor LLM applications using services like OpenAI, Anthropic, Hugging Face, or AWS Bedrock

Implement responsible and secure usage of AI models, with a focus on mitigating bias, ensuring transparency, and aligning with FRDM’s ethical standards

Work with unstructured and structured data sources, including web scraping, document parsing, and API consumption

Optimize application performance, scalability, and security across the stack

Contribute to peer code reviews and mentor junior developers

Technical Proficiencies

MUST have backend experience with Ruby on Rails and Python or Golang

Experience integrating LLM APIs (e.g., OpenAI, Claude, Hugging Face) into user-facing features or backend automation

Understanding of LLM vector databases (e.g., Pinecone, Weaviate, FAISS)

Experience deploying AI models in production, monitoring output, and managing model drift

Skilled in designing and managing scalable ETL pipelines and data workflows using tools like Airflow, Dagster, or custom scripts

Experience with structured PostgreSQL (SQL) and unstructured data; ability to build feature stores or datasets for ML training

Familiarity with cloud infrastructure (AWS preferred) and CI/CD pipelines

Familiar with frontend development in JavaScript (ES6+), HTML, CSS, and modern frameworks

Proficiency in building and consuming REST APIs and integrating third-party services

Required Qualifications

Experience: 4+ years of full-stack development; 1+ years of hands-on experience working with LLMs or AI systems in production.

Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field from an accredited university.

To Be Successful

You’re a builder who is excited by AI and knows how to use it responsibly

You thrive at the intersection of engineering and data science

You believe AI should serve people and advance human rights, not undermine them

You’re comfortable owning systems end-to-end, from frontend design to backend and model deployment

You communicate clearly, collaborate openly, and stay curious

Benefits, Compensation, And Perks

Competitive Salary

Remote Work

Flexible PTO Policy

Paid Full Employee Healthcare

Please respect our application process and do not contact our team directly - you will automatically be disqualified.

FRDM is an Equal Opportunity Employer (EOE). We are committed to building ethical technology and a diverse team to match. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status, or any other legally protected status.

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