Forward Deployed Engineer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Infinity Constellation

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🤝 B2B

💳 Fintech

AI • B2B • Fintech

Infinity Constellation is the first AI Holding Company dedicated to helping elite founders build AI companies that can operate at unprecedented speeds. By leveraging advanced AI platforms, Infinity Constellation aims to reinvent traditional venture models, focusing on efficient structures that allow businesses to generate profits rapidly with minimal resources. The company supports its portfolio through various operational services, enabling founders to scale and thrive in the rapidly evolving AI landscape.

📋 Description

• Run customer discovery, workflow shadowing, and field notes with operators and decision owners, until you can name the users, states, evidence sources, exceptions, and the real operating constraint • Implement thin product slices in a live codebase across frontend, backend, data, and integrations, where the happy path works, unsafe paths fail, and the behavior survives realistic data • Write tests, run realistic paths, inspect logs, and document what is proven, missing, or uncertain, so every customer demo is backed by evidence, not optimism • Explain tradeoffs, risks, and next steps to non-technical customers without overclaiming • Identify reusable patterns from field work and feed them into product and engineering, so the next customer gets faster onboarding, safer workflows, or more reusable product • Carry ambiguous work end to end: discovery, build, demo, rollout, and follow-up

🎯 Requirements

• You have personally shipped production software and can explain what you touched, how you verified it, and what changed for users • You are comfortable in messy customer settings where the first request is rarely the real problem • You can talk to operators in plain language, then go back to the codebase and build the thing • Product UI: TypeScript, React, Next.js, shadcn/Tailwind; you can trace a user flow, change a screen, and respect server/client boundaries • Backend: Python (uv), Pydantic, Django/Django Ninja or FastAPI, background workers, and typed APIs • Data and auth: Postgres, migrations, service roles, tenant scoping, and auditability • AI systems: pydantic-ai agents, typed outputs, evals, and provider choice across Gemini, OpenAI, and Bedrock; you use AI tools for leverage but never treat generated output or a clean demo as proof • Cloud: Vercel, Cloudflare, AWS, GCP; you can debug across deployment, env config, logs, and customer-facing behavior • Evidence discipline: you naturally separate fact, inference, assumption, and risk • Product judgment: you resist one-off customization unless the lesson clearly belongs outside core product • Strong communication skills: you can explain what is safe, what is uncertain, and what happens next

🏖️ Benefits

• High-impact work at the intersection of AI and critical infrastructure regulation • Direct customer exposure and a seat at the table when we decide what to build • Small team with outsized influence; your field learning shapes the product roadmap • Modern AI-native development environment (Claude Code, Cursor, multi-model orchestration) • Remote-first • Competitive compensation