> Markdown version of [/jobs/ext/1901780-founding-backend-engineer](https://www.wearedevelopers.com/jobs/ext/1901780-founding-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Founding Backend Engineer - **Company:** AI FIRST, INC. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $100,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Distributed Systems, Amazon DynamoDB, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Pulumi, ReactJS, Apache Spark, Backend, Fastapi, Event Driven Architecture, Kubernetes, Graphql, Front End Software Development, Databricks - **Published:** August 1, 2026 - **Apply:** https://www.careerbuilder.com/job-details/founding-backend-engineer-sales-tech-san-francisco-ca--d345794a-bd12-4d8b-836f-b3341f70717b ## About the Role * Owner/builder mindset with strong product sense you frame problems, choose simple paths, and own outcomes. * 4+ years of experience building and owning backend/platform systems end-to-end, with measurable business impact. * Ability to turn fuzzy problems into shipped outcomes; comfortable making decisions with ~70% information. * Experience stitching together messy, multi-source data into something a product can reason over. Strong instincts for reliability, privacy, and multi-tenant architecture. * Hands-on with Python and deploying cloud infrastructure. * Nice to have: exposure to agent orchestration/planning, retrieval or graph-shaped context, evaluation frameworks, and distributed systems at scale., Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Customer Relationship Management (CRM), Distributed Computing, Entrepreneurship, Intelligence Gathering, MCP - Microsoft Certified Professional, Memory Hardware, Metrics, Quality Metrics, Reporting Dashboards, Team Building, Team Lead/Manager, Technical Sales, User Interface/Experience (UI/UX) ## Description As a Founding Backend Engineer, you'll play a central role in building the context and orchestration layer for AI-driven revenue software. This is an opportunity to take ownership of critical systems and shape the foundation of a fast-growing product. What You'll Do * Create the collective memory: Ingest and unify data from multiple sources (CRM and beyond) into a semi-structured context graph that captures what leads to winning deals, modeled at multiple levels with strong tenant isolation. * Orchestrate agentic systems: Design planner/executor patterns, tools, and policies (including MCP-style interfaces) that turn context into content, and content into actions. Define lightweight evaluation harnesses to measure quality. * Deliver where users work: Expose capabilities through native surfaces (apps, chat, integrations) in tight loops with product and GTM teams reducing context-switching and metawork. * Prove outcomes: Partner with product and customers to define success metrics (e.g. tasks auto-completed, adoption, retention, pipeline lift, latency) and wire observability so the team can ship, learn, and iterate quickly. * Balance cost & reliability: Optimize accuracy, latency, and cost for agent runs and retrieval. Design fallbacks and safeguards to ensure the system remains dependable under real-world load., * Outcome-first: Anchored on sellers jobs; close to customers; success = adoption, pipeline quality, and time-to-value. * Ship small, learn fast: Start simple, instrument early, iterate with quick tests. * High trust, high ownership: Own problems end-to-end and make product-level decisions with the team. Tech Stack * Core: Python, FastAPI/GraphQL, PostgreSQL/DynamoDB, AWS, Kubernetes, Pulumi * Data/ML: Spark, Databricks, event-driven architectures * Frontend: React (Familiarity is helpful, but not required.) ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)