AI Engineer_Techwish
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Role details
Tech stack
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Job description
Prioritise candidates currently working at startups, especially Pre-Seed, Seed, Series A or Series B funded companies.
- Prioritise candidates from YC-funded startups, as they have a stronger chance of selection.
- Previous FAANG experience is an added advantage.
- Source from the top 20 universities.
- Before submitting, research and verify the candidateβs current organisation, including its most recent funding stage and current business status.
- Check green flags and red flags very carefully.
- Confirm visa status against each roleβs sponsorship terms above before submitting.
SUBMISSION FORMAT
Share each profile with the resume and the following details:
- Name of the Candidate:
- LinkedIn:
- Email:
- Startup experience:
- YC Companies experience (Yes/No):
- Why they are a fit for this role:
Please route all profiles to me for review before anything goes to the client. The client has been clear that quality matters more than volume, so please share only profiles that meet every criterion.
Requirements
Artificial Intelligence (AI), Software Engineering, Finance Software, Artificial Intelligence (AI), Financial Compliance, Internet Application, Web Production, User Interface/Experience (UI/UX), Customer Relations, Willing to Travel, 3+ years building production web applications
- Strong experience with modern interactive frontends and the backend systems that support them
- Strong product and UX judgment for complex, data-dense applications
- Solid grasp of frontend architecture, application state, APIs, data modeling and relational databases
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Ability to take a product problem from concept to production Nice-to-have: AI-powered product features, direct customer-facing work, end-to-end project ownership Interview process: Intro call, coding interview (optional), chat with co-founder, work trial, Role mix: Roughly 60-70% running customer engagements and 30-40% hands-on technical work Must-have:
- Track record of enterprise delivery: forward-deployed delivery, enterprise solutions, technical consulting or leading enterprise implementations
- Has personally driven a complex initiative to a result with customers and multiple stakeholders
- Technical background and fluency with software systems, APIs and data
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Executive presence and ability to hold technical conversations with customers Interview process: Phone screen, technical assessment, work trial, 3+ years building and shipping production systems at high velocity
- Full-stack generalist, comfortable across backend and frontend
- High agency; able to operate without a defined scope or playbook
- Fluency with the current AI and software stack
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Willing to work in-person in San Francisco with demanding early-stage hours Nice-to-have: GIS/geospatial background, applied AI research, high-velocity startup experience, competitive programming (IOI/ICPC), prior founding or early-employee experience Interview process: Founder intro call, take-home project, technical debrief, call with co-founder or advisor, work trial, Has shipped and supported production software
- Has built reliable systems with LLMs
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Can explain technical decisions to both a CEO and an engineer Note: Client-facing, fast-paced role. Not suited to candidates who want a narrow scope or a predictable pace. Interview process: Screen, behavioral, live coding, systems design, final round, 2-4 years of software engineering, ideally on SaaS or AI-driven products
- Strong Python, JavaScript or similar
- Familiarity with AI frameworks, ML concepts and AWS, Azure or GCP
- Comfortable with ambiguity in a fast-paced startup; strong communication Nice-to-have: Legal tech, healthtech or document-heavy SaaS; AI pipelines for document processing or information extraction Interview process: 30-min intro call, 1.5-hour technical interview, paid 1-2 day in-office work trial, Prioritize candidates currently working with startups, especially those with experience in Pre-Seed, Seed, Series A, or Series B-funded companies. Previous FAANG experience is an added advantage. Prioritize candidates from YC-funded startups, as they may have a stronger chance of selection.
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