Amboras — Full-Stack Engineer

• →2–3 years of experience as a full-stack software engineer [Required]

• Experience at a company well known for having a high bar for their engineers (VC-backed startups strongly preferred) [Must have]
• Experience at a startup or as a founder [Strongly preferred]

• Either studied at an excellent university or dropped out / founded something [Required]

• Solid full-stack ability across back end and front end [Must have]
• AI fluency as a core skill to scale and automate work [Must have]

• Must be willing to work on-site in San Francisco with nontraditional startup hours. This is not a 9–5. [Required]
• Can provide examples of personal projects or products they've built [Strongly preferred]

• Requires constant direction or hand-holding.
• Works in a silo and avoids collaboration or feedback.
• Lacks product sense or interest in user needs.

• Salary | $200,000–$250,000 |
• Equity | Competitive |
• On-site policy | On-site San Francisco; relocation costs covered (e.g. flights to SF). Intake notes remote flexibility — confirm with client |
• Visa sponsorship | Transfers only, case by case (e.g. OPT, H-1B transfers); no net-new H-1Bs |
• Employment type | Full-time |
• Location | San Francisco, CA |
• Hiring count | 1–2 |

1. How do you currently use AI tools in your development workflow to scale or automate your work?
2. This position is on-site in San Francisco. Are you currently based in the SF Bay Area, or would you be willing to relocate for this role?
3. Do you require visa sponsorship or transfer support? If so, please specify (including timeline and the exact type of visa you'll need).
4. What is your salary expectation?
5. How actively are you exploring new opportunities?

Updated Jul 24, 2026

• Large, legacy enterprise software: Oracle, SAP, IBM, Cisco, Salesforce, VMware, Broadcom
• Traditional financial institutions and banks: JPMorgan Chase, Bank of America, Wells Fargo, Goldman Sachs, Morgan Stanley, Capital One
• IT consulting and systems integrators: Accenture, Deloitte, Capgemini, Infosys, Tata Consultancy Services, Cognizant, Wipro

For reference only — do not source these specific profiles.

Santiago Vazquez — LinkedIn CS and AI at MIT | Cambridge, United States

• Recently joined Amboras in this exact role — the HM's stated template for a great hire.
• Earlier-career, high-energy engineer who thrives in an intense startup environment.
• Strong technical pedigree (MIT CS + AI).

• Full-time SWE background: Focus on candidates with solid, consistent full-time engineering experience at VC-backed startups rather than those coming mainly from founder or short-term roles. (Note: founder/startup experience is a Strongly preferred nice-to-have, but a background that is mainly founder or short-term stints is a rejection reason — the client wants consistent full-time core engineering.)
• End-to-end full-stack & AI fluency: Prioritize candidates who can demonstrate proven product ownership across back end, front end, and AI systems, with clear examples of shipping to production.
• Startup grit & cultural fit: Seek applicants with deep startup experience and a proven ability to work nontraditional hours on-site, showing high agency and an iterative, user-driven approach.
• From submission form — recent rejection reason: "Insufficient experience at top-tier engineering firms." The high-bar-employer Must-have is being enforced hard; most recent rejections are logged as "Not enough experience."