Aigentless — Senior Forward-Deployed Engineer

• →2–5 years of experience as a backend software engineer [Required]

• Strong Python / FastAPI skills [Must have]
• Startup experience (Seed to Series A; <50 headcount) with hands-on ownership of technical work [Required]
• Built and maintained third-party API integrations [Required]
• Customer-facing engineering work [Required]
• PropTech or property management system experience (Yardi, Entrata, RealPage) [Strongly preferred]

• BS in Computer Science or equivalent technical degree [Required]

• Integration design experience — REST APIs, data modeling, webhooks [Required]
• Experience with agentic AI workflows or LLM tooling [Strongly preferred]

• Must be based in NYC — hybrid 3 days/week near Penn Station [Must have]

• Solutions Architect, Solutions Engineer, or Product Manager who hasn't written production code recently
• Job hopping
• Only large corporate / Big Tech experience with no startup exposure

• Salary: $180,000 – $220,000
• Equity: Competitive
• On-site policy: Hybrid — 3 days/week in-office near Penn Station, NYC
• Visa sponsorship: Not open to any visas (US citizens / Green Card holders only)
• Employment type: Full-time
• Location: New York City, NY

1. Describe your hands-on experience building and maintaining integrations with third-party APIs — what systems did you integrate with and what was your specific role in designing those solutions?
2. Tell us about a time you took full ownership of a technical project at a small or fast-paced company without heavy oversight. What did you build start-to-finish and how did you handle ambiguity?
3. Tell us about a time you owned a technical project end-to-end without heavy PM oversight — how did you scope the problem and ship the solution?
4. Can the candidate be on-site? If not, is the candidate willing to relocate?
5. What is their salary expectation?
6. How actively is this candidate exploring new opportunities?

Updated Aug 2, 2026

Companies with Forward-Deployed Engineer or Software Engineer roles at tech startups Retool, Plaid, Stripe, Databricks, Figma, Notion, Vercel, Supabase, Temporal Technologies, EliseAI

Non-ideal companies (avoid sourcing from) Only Big Tech companies where work is highly specialized and siloed with heavy process overhead: Google, Amazon, Meta, Apple, Microsoft, Salesforce, Adobe, Cisco, Intel, VMware

• SWE/backend focus is a must — prioritize candidates with proven Python/FastAPI integration projects over those with primarily data engineering or automation backgrounds.
• Customer-facing experience needs to be clearly demonstrated through end-to-end project ownership in startup environments.
• Startup culture fit is essential — ensure candidates show adaptability and direct problem-solving skills in ambiguous, hands-on settings.
• Recent rejection reasons on file: culture fit, candidate withdrew, skills mismatch, not enough experience, lack of relevant backend engineering experience.