Senior Full-Stack Software Engineer

David Joseph & Company
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$180,000 - $280,000
Working hours
Regular working hours

Tech stack

Artificial Intelligence Github Design of User Interfaces Human-Computer Interaction Python (Programming Language) PostgreSQL Redis Software Engineering Systems Integration TypeScript Datadog Scripting
+9 more
Google Cloud ReactJS Large Language Models Backend Information Technology Front End Software Development Terraform Docker Golang

Job description

You’ll be a core early engineering hire building a production platform end-to-end. You’ll write idiomatic Go, ship a modern React frontend, and design systems that put LLMs to work in production - making architectural calls, living with the results, and iterating based on how things perform in the real world and what customers tell you.

What you’ll be doing

  • Own features end-to-end, from design through deployment and monitoring
  • Build and operate reliable backend systems in Go and Python
  • Build and maintain a modern React/TypeScript frontend
  • Design and ship production systems that integrate LLMs (orchestration, tool calling, context management, evals)
  • Work directly with the founding team and iterate on features from direct customer feedback

Tech stack: Go, Python, PostgreSQL, Redis, React 19 + TypeScript, GCP, Terraform, Docker, Datadog, GitHub

Requirements

Software Engineering, Artificial Intelligence (AI), Business-to-Business (B2B), Architectural Services, User Interface Design, Python Programming/Scripting Language, System Operations, User Interface/Experience (UI/UX), Production Systems, System Integration (SI), * 5-10 years of full-stack software engineering experience, with real strength in a typed language (Go preferred), Python, and React/TypeScript

  • A track record of shipping production services with concrete, verifiable contributions across the stack and sustained ownership of meaningful systems
  • Hands-on experience building production systems that integrate with LLMs (real systems, not just prototypes), with a working grasp of patterns like orchestration, tool calling, context management, and evals
  • Solid PostgreSQL depth - schema design, migrations, and production operations
  • Proven experience iterating on features from direct customer feedback, with strong written and verbal communication
  • A pragmatic engineering mindset (knowing when to refactor vs. ship, build vs. buy) and a track record of leading larger, high-impact projects
  • A genuine understanding of what it takes to be a founding engineer in an early-stage environment
  • A BS or higher in Computer Science, Engineering, or a related technical field (a top-30 CS program is a plus, especially earlier in your career)
  • Able to work on-site 5 days a week in San Francisco

Nice to haves

  • Early-stage startup experience, or a mix of big-tech and startup backgrounds
  • Infrastructure-as-Code experience (Terraform, GCP, Docker)

Benefits & conditions

  • Get in early on a category-defining product at the intersection of process intelligence and agentic AI
  • Real technical ownership across the full stack in a young, clean codebase
  • Work directly with a founding team that’s already in market with large enterprises
  • Senior compensation plus meaningful early-stage equity

About the company

Our client is a seed-stage enterprise-AI company building a platform that captures the operational knowledge generated inside the world’s largest organizations and turns it into a living specification that agentic systems can operate from - working at the intersection of process intelligence and agentic AI. Just months in, they’re already transforming operations for large enterprises, and they’re backed by a top-tier venture firm. This is a chance to be one of the first engineers on a young, clean codebase with real technical ownership.

Founded 2024 Β· ~10 people Β· Industry: AI, Enterprise, B2B

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