Senior Full Stack Software Engineer

Sourcedirect Talent•Palo Alto, CA

7d•Onsite

About The Position

Our client is looking for a fantastic, high-agency software engineer to join their team and push them forward. Our client is transforming product and R&D innovation across a large physical-goods industry and beyond. They use their own machine learning tools, modern LLMs, and traditional software and data models to build product experiences that users can trust and rely on while inventing the products of tomorrow. You'll work directly with the founder, domain experts, technical specialists, and their customers to define and build their platform. You are building a product experience that translates ambiguous, highly complex, subjective expertise and physical chemistry needs into a solution for users who never had better tools than spreadsheets. This requires going far beyond traditional statistical methods and basic LLM calls. You will own the end-to-end development of AI-powered features across the backend, frontend, and deployment layers. You will build on their proprietary ML algorithms, LLMs, internal embeddings, and structured data models to create product experiences that users actually trust. This is a zero-to-one build. You will ideate, plan, and deliver software that consistently exceeds customer expectations. You will collaborate tightly with their ML team to ensure outputs are not just mathematically accurate, but practically trustworthy in a lab.

Requirements

3+ years of software experience building real products/tools that people actually use.
Proven high-ownership mindset: ability to work independently and be self-motivated.
An attitude of getting the most out of AI coding tools - not just as a speed multiplier for coding, but as a backbone for rethinking processes, revolutionizing work roles, and achieving the impossible.
Excellent communication and candor. You'll be directly communicating with customers, users, engineers, domain experts, etc.
US citizen/visa only

Nice To Haves

Experience or education in scientific computing, machine learning, data visualization and analytics, domain-specific tools, or similar.
Experience interfacing with end users/customers.
DevOps knowledge.
UX and/or product experience.
You're a previous founder or founding engineer.
You have built something from scratch that people use or pay for.
You're unusually obsessed with hard problems.

Responsibilities

Engage deeply with real-world problems and own the complete lifecycle of creating novel, differentiating solutions.
Talk directly to customers. They want their best problem solvers as close to the users as possible.
Support and continue to build out their backend traditional compute architecture (React, TypeScript, Bun, Elysia) as well as their agentic infrastructure (LangChain-based).
Help expand the horizons of what's possible by combining machine learning, agentic AI, and traditional software approaches to solve problems no one approach can handle.
Own implementation of a small feature within 15 days.
Own end-to-end a major improvement to their agentic toolkit that makes product innovation better within 30 days.
Invent and deliver something you created based on your conversations with their users, internal experts, and customers within 45 days.
Work directly with the founder on problems that shape the whole product.
Own the end-to-end development of AI-powered features across the backend, frontend, and deployment layers.
Build on their proprietary ML algorithms, LLMs, internal embeddings, and structured data models to create product experiences that users actually trust.
Ideate, plan, and deliver software that consistently exceeds customer expectations.
Collaborate tightly with their ML team to ensure outputs are not just mathematically accurate, but practically trustworthy in a lab.