Founding Engineering Jobs

Summary: The ideal candidate must possess a strong foundation in TypeScript and NodeJS, coupled with 2-3 years of professional software engineering experience. An entrepreneurial mindset capable of thriving in a fast-paced startup environment and a passion for applying AI/ML to data-heavy workflows are also essential.

Skills: typescript, nodejs, full-stack architecture, agentic workflows, ai, llm-powered tools, data engineering, ci/cd, figma designs, product development

Summary: The ideal candidate must possess proven full-stack expertise using Next.js, TypeScript, and SQL databases, along with experience building AI-assisted products. They should also have an entrepreneurial mindset, a focus on execution, and the ability to leverage AI-coding tools effectively in a fast-paced setting.

Skills: next.js, typescript, sql, ai workflows, rag pipelines, llm, architecture, infrastructure, azure, full-stack, product mindset, execution, ai-coding tools

Summary: The ideal candidate must possess a strong full-stack software engineering background with experience building production-grade systems from scratch. Essential technical requirements include hands-on experience implementing LLMs at the application layer, such as agents, evaluations, and vector search, coupled with a high-agency mindset.

Skills: ai infrastructure, llms, rag, graph analysis, agentic systems, full-stack engineering, backend systems, frontend user interfaces, cloud infrastructure, data-intensive systems, vector search, evaluations, technical architecture, product roadmap

Summary: The ideal candidate must have a proven track record of shipping and owning production software autonomously in fast-paced settings, coupled with strong systems thinking regarding relational data. They must also be excited by a high-commitment, 6-day/week in-office culture focused on solving complex, real-world data problems.

Skills: node.js, python, supabase, system thinking, relational data, ai coding tools, architecture, model iteration, frontend deployment, data loops, evals, prompt engineering

Summary: Candidates must possess deep experience in modern full-stack technologies like Python, TypeScript/Next.js, and GCP, with the ability to quickly identify issues in AI-generated code. A strong mindset for AI orchestration, comfort with ambiguity and speed, and a commitment to test-driven development principles are essential for success in this role.

Skills: ai-native workflows, llms, coding agents, python, typescript, next.js, gcp, full-stack, test-driven development, ai orchestration, security risk assessment, software craftsmanship, prioritization, frontend development, backend development

Summary: The ideal candidate needs 7+ years of software engineering experience with expert-level Python skills and a proven history of shipping products from inception to real users. Extensive experience with enterprise-grade deployments, including Docker, networking, and production debugging, is essential, alongside proficiency in modern AI development tools.

Skills: python, fastapi, django, react, docker, agentic ai, full-stack development, enterprise deployment, llm integration, architecture, infosec management, networking, infrastructure debugging

Summary: Be a founding mobile engineer shaping a consumer app used by millions, collaborating directly with the founders and design lead to ship features in days, own key surfaces and app performance, and help define a fast-growing, YC-funded product at the intersection of AI and social.

Skills: react, react native

Summary: Candidates must bring 4+ years of experience or demonstrate standout work, possessing strong skills in TypeScript/Javascript, React, and Next.js, with a preference for App Router experience. A solid understanding of PostgreSQL and ORMs is required, alongside comfort navigating ambiguity in fast-paced settings with high ownership.

Skills: typescript, javascript, react, next.js, postgresql, orms, prisma, npm ecosystem, ci/cd, full-stack, frontend focus, leadership, ai

Summary: Candidates must possess 6+ years of DevOps/infrastructure experience and 3+ years of application development experience, ideally within startup and scale-up environments. Expertise with infrastructure management tools like Terraform or CloudFormation, and familiarity with languages such as Ruby, Python, and JavaScript are required.

Skills: infrastructure architecture, ci/cd pipeline, infrastructure-as-code, observability strategy, reliability, scaling, incident response, security fundamentals, secrets management, access control, production hardening, developer experience, cloud tooling, terraform, cloudformation, ruby

Summary: The ideal candidate is an excellent engineer who thinks about quality as a system, combining elements of software engineering, QA, reliability engineering, and DevOps, and must be AI Native. Requirements include experience with observability tooling, a strong testing background (writing and architecting), familiarity with LLM evaluation approaches, and excellent written/recorded video communication skills.

Skills: node.js, express, typescript, react, postgres, clickhouse, mongodb, heroku, observability, monitoring, alerting, ci/cd, test automation, llm evals, e2e testing, code review

Summary: Candidates must have 5+ years of software engineering experience, significant background in distributed systems or web-scale infrastructure, and experience designing communication protocols or interoperable standards. A strong understanding of identity, authentication, cryptographic primitives, and production-grade web services is essential.

Skills: distributed systems, protocol design, communication protocols, identity management, authentication, cryptographic primitives, web services, event-driven systems, rest, rpc, streaming protocols, systems thinking, specification writing, threat modeling, rust, go

Summary: Early-stage founding team role at Structured AI offering high ownership in shaping a product-forward AI platform for construction design engineering. Work directly with the CTO and CPO to translate HVAC and MEP concepts into autonomous AI agents, test features weekly with the founding team, and deliver enterprise-grade AI reports. Includes a consulting option and a US-only remote setup with visa restrictions.

Summary: Be part of Structured AI's founding team to shape AI-powered structural QA for major engineering firms. YC-backed, CPT eligible, remote-friendly within the US, with a product-first culture and weekly shipping cadence.

Summary: Founding-team, product-first role shaping AI-powered engineering QA/QC for construction design. CPT-eligible visa, rapid feature shipping, direct CTO/CPO collaboration, and strong growth potential in an early-stage startup.

Summary: Join a founding engineering role at YouShift, an early-stage YC-funded startup building an AI-powered workforce OS for healthcare. You'll own end-to-end features, shape architecture, and influence product from day one in a small, high-ownership team. Expect early equity, fast pace, direct impact on hospital staffing, and the chance to help define the platform as the company scales.

Skills: react, node.js, typescript, postgresql, aws, react-native

Summary: YC-backed healthcare AI startup offering a high-ownership product engineering role to build AI agent workflows in production with real-world impact. Strong growth potential; visa: US citizen/visa only.

Skills: python, typescript

Summary: Early-stage startup with high autonomy and growth potential; backers include General Catalyst and notable angels; opportunity to shape product direction in a tight-knit team.

Summary: Candidates must possess senior-level experience in a customer-facing technical role like Forward Deployed Engineer or Solutions Engineer, requiring hands-on work with AI/ML systems, prompt engineering, and data pipelines. Essential abilities include defining safety frameworks and guardrails for production AI systems, and balancing tactical deployment with strategic playbook building.

Skills: forward deployed engineering, ai agent deployment, ai tuning, ai scaling, customer engagement, agentic workflows, prompt engineering, data pipelines, guardrail definition, needs analysis, solutions engineering, technical partnership, playbook creation, stakeholder collaboration, ml systems, enterprise ai

Summary: Candidates must possess a strong engineering background from leading technology companies and proven experience building production-scale data pipelines handling large streaming and batch datasets. Essential requirements include hands-on experience with multimodal industrial data sources and strong ownership of production infrastructure, DevOps practices, and security engineering.

Skills: data pipeline architecture, edge ingestion, etl, data processing frameworks, orchestration, schema management, data quality controls, streaming infrastructure, devops, ci/cd, infrastructure-as-code, container orchestration, security architecture, observability, time-series data, industrial data

Summary: Candidates must have 2+ years of full-time experience excelling in TypeScript and React, proficiency with SQL and relational databases, and experience with AI-native development including LLMs, prompt engineering, and RAG. They should also possess strong systems thinking regarding cloud tooling and architecture.

Skills: typescript, react, sql, relational databases, ai-native development, llms, prompt engineering, rag, systems thinking, cloud tooling, architecture

Summary: Candidates must have 5+ years of relevant experience, strong software engineering fundamentals in Python and SQL, and proficiency with Git and modern CI/CD workflows. Required experience includes hands-on work with ML experimentation/tracking tools, model monitoring, and deploying/operating ML models as reliable production services.

Skills: python, sql, mlflow, datadog, grafana, prometheus, airflow, dagster, prefect, docker, kubernetes, aws, postgresql, git, ci/cd, github actions

Summary: The ideal candidate must possess a strong software engineering background with a focus on frontend technologies and a sharp product sense. Proven interest in the business side of startups, including experience launching or scaling digital products, coupled with an analytical mindset comfortable using data tools, is required.

Skills: frontend technologies, product sense, software engineering, growth initiatives, user behavior analysis, top-of-funnel optimization, data-driven strategies, posthog, grafana, technical experiments, seo content, performance metrics, re-engagement workflows, analytical mindset, datadog

Summary: Candidates must have over 5 years of professional experience building production platforms and a proven track record of shipping user-reliant products, balancing speed and quality. Proficiency in Python and TypeScript for scalable backends, foundational knowledge of React/TypeScript frontends, and comfort with cloud infrastructure configurations are required.

Skills: rust belt resources, b2b solutions, ai-first, python, typescript, react, cloud infrastructure, data pipelines, third-party integrations, api-first systems, llm capabilities, client collaboration, feature ownership, engineering best practices, llm powered tools

Summary: Candidates must possess strong production experience with React and TypeScript, proficiency in building SPAs with modern tooling, and a solid understanding of frontend architecture and state management. Success requires comfort working across the stack, a strong product mindset focused on user value, and the ability to thrive in an early-stage startup environment characterized by ambiguity and speed.

Skills: react, typescript, vite, tailwind, go, apis, spa, ui design, state management, frontend architecture, data modeling, testing, developer experience, fintech, saas ui, ai-powered ux

Summary: Candidates should have 1-3 years of software engineering experience, proficiency in writing clean Python code, and be capable of full-stack work, including backend development and familiarity with frontend technologies. A strong desire to learn the healthcare domain and leverage AI development tools is essential.

Skills: software engineering, backend development, apis, data integration, ai/ml systems, python, javascript, typescript, react, cloud infrastructure, aws, gcp, azure, ai-native development, self-directed, communication

Summary: Candidates should be exceptional, high-agency individuals who are motivated by impact and outcomes. They should be learning-driven, product-minded, and willing to travel to meet challenges creatively.

Skills: software engineering, distributed systems, data pipelines, cloud operations, kubernetes, docker, machine learning, data science, security compliance, integration, model operations, evaluation, experimentation, agent communication, fault tolerance, observability

Summary: You should have 1–3 years of startup experience in the AI domain and a strong engineering foundation. Ideal candidates are mission-driven, curious, and collaborative, with a hands-on approach to building.

Skills: python, typescript, context engineering, prompt-based reasoning, browser automation, mobile automation, qa tooling, backend development, frontend development, ai interfaces

Summary: Significant experience building sizeable products from scratch and understanding engineering and product tradeoffs is required. Comfort with building sophisticated user interfaces and backend architectures is essential.

Skills: fullstack development, ai coding tools, react, typescript, api design, data modeling, backend architecture, product scoping, customer research, infrastructure management, gcp, health tech, hipaa compliance, entrepreneurial mindset, health, wellness, longevity

Summary: Candidates should be excellent at systematic debugging and comfortable reading/writing code in Python or TypeScript. Strong product sense and the ability to thrive in a high-ownership, early-stage environment are also essential.

Skills: clear communication, systematic debugging, python, typescript, product sense, high ownership, api support, debugging, support processes, ai utilization, developer experience, observability stacks, aws, llms, customer support workflows

Summary: Candidates should have over 5 years of experience in security engineering, with expertise in web application and cloud security. A strong foundation in programming and automation tools, along with excellent communication skills, is essential.

Skills: security engineering, web application security, cloud security, networking principles, programming, scripting, devops, secure coding practices, threat modelling, vulnerability scanning, incident response, cloud security architecture, enterprise deployment patterns, communication skills, customer-focused mindset

Summary: Candidates should have 1-5 years of experience, ideally in high-ownership or early-stage environments, with strong backend development skills in Python. Experience with LLMs, OCR, or data extraction systems is a plus.

Skills: machine learning, document extraction, backend development, python, automation, collaboration, architecture, scalability, ai infrastructure, ocr, llms, technical roadmap, engineering culture, greenfield features, performance, user needs

Summary: Candidates should be exceptional, high-agency, and motivated by impact. They should be learning-driven, product-minded, and willing to travel to meet challenges creatively.

Skills: software engineering, distributed systems, data pipelines, multi-agent systems, evaluation, cloud operations, model ops, security compliance, data governance, integration, fault tolerance, kubernetes, docker, observability, data science, machine learning

Summary: Candidates should have experience building AI or Data products on the Azure platform and possess at least 6 years of engineering experience. Strong interpersonal and communication skills are essential for this role.

Skills: microsoft cloud experience, azure, copilot, fabric, python, javascript, technology leadership, customer orientation, creative thinking, problem solving, startup mindset, interpersonal skills, observation skills, communication skills, analytical skills, critical thinking

Summary: The application process is entirely managed through an AI system involving initial contact with Alex, the candidate-facing AI recruiter, to assess fit for the role or suggest alternative opportunities.

Skills: ai recruiter interaction, application process navigation, candidate assessment, talent matching, job search strategy