2 дня назад
Senior Full Stack Engineer (AI)
120 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full Stack Engineer (AI) (TypeScript/Python/React): Building Techstars OS features across data pipelines, APIs, React interfaces, semantic search, retrieval, and assistive LLM workflows with an accent on end-to-end ownership and reliable production delivery. Focus on designing AI-native features under uncertainty, consolidating legacy founder tools, operating cloud infrastructure, and improving testing, observability, and CI/CD practices.
Location: Remote; U.S. work authorization is required for all new hires through E-Verify.
Salary: $120,000–$150,000 per year
Company
invests in founders through accelerator programs, mentorship, capital, and a global startup network.
What you will do
- Own OS features end to end, from data ingestion and API layers through web application design, testing, and release.
- Build AI-native capabilities including semantic and federated search, retrieval over founder and portfolio data, and assistive workflows.
- Lead the migration and shutdown of legacy founder tools, consolidating functionality into OS or retiring it safely.
- Build data pipelines across the Enterprise Data Platform and OS to support real-time features, search, and AI use cases.
- Improve reliability and delivery through testing, code review, CI/CD, and responsible use of AI coding tools.
- Provide technical guidance, contribute to architecture decisions, and maintain alignment across time zones.
Requirements
- Strong TypeScript and Python skills.
- Solid React experience and the ability to build functional user interfaces independently.
- Proficiency with relational databases, including PostgreSQL data modeling, migrations, and query performance.
- End-to-end data pipeline experience covering ingestion, transformation, and delivery; event streaming experience is relevant.
- Production experience with LLM-backed features, retrieval, embeddings, and evaluation loops.
- Experience operating containerized services in GCP or AWS with infrastructure as code, plus a track record of owning features from concept to production and retiring legacy systems safely.
Nice to have
- Event-driven architectures and Kafka-based data platforms.
- LLM evaluation and observability, MCP or comparable agent tool surfaces, and identity or authentication systems such as Keycloak.
- Search infrastructure such as OpenSearch, Next.js, or Material UI.
- Financial or investment data experience, or work at an accelerator, investment firm, or high-growth startup.
Culture & Benefits
- Remote-first work with a high degree of autonomy and strong written communication.
- Small, high-trust team focused on shipping production software quickly.
- Medical, dental, and vision insurance.
- 401(k) retirement plan and paid time off.
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