Top Tech Jobs & Startup Jobs in NYC, NY

Build and operate end-to-end agentic AI products from initial concept through production and product-market fit. Responsibilities include developing agents, retrieval and orchestration systems, integrating tools, shaping product direction with design and product partners, hardening systems after launch, and creating reusable engineering primitives. The role requires entrepreneurial ownership, production AI experience, strong engineering judgment, and the ability to work effectively with technical and commercial stakeholders.

Design and deliver backend services for a sophisticated B2B platform. Build durable APIs, data models, resilient workflows, and systems that handle failures, retries, and complex business rules. Improve developer tooling, observability, and operational reliability while contributing to architecture decisions and engineering standards. Partner with product, design, and customer-facing teams, translate ambiguous requirements into technical plans, mentor teammates, and maintain high-quality production software.

Own and ship major parts of a core web application for power users. Build high-performance, stateful interfaces for search, transactions, and workflows. Collaborate with backend, product, and design to define and deliver end-to-end features with full ownership.

Embed with client teams to design, build, and ship AI-driven integrations and automations. Responsibilities include prompt and retrieval design, prototyping with no-code tools and custom Python/JavaScript, hardening prototypes for production (reliability, logging, monitoring, access control), handling sensitive data, producing runbooks/specs, and collaborating with platform and engagement leads to drive adoption and reusable patterns.

Embed as the senior technical lead inside portfolio companies to discover business problems, architect and ship production AI systems (model/provider selection, retrieval/grounding, guardrails), own reliability and deployment end-to-end, mentor engineers, and convert solutions into reusable patterns and platform assets.

Design and build a high-performance consumer marketplace platform. Implement onboarding, search, booking/ordering flows, and lifecycle management. Create third-party integrations, contribute to frontend architecture and backend services, and partner with product and design. Own features end-to-end from concept through deployment while ensuring code quality and scalable data models.

Design and build backend systems and internal tooling for AI-native products: secure data access for agents, agent orchestration, evaluation/observability for non-deterministic outputs, performance and latency optimization, and end-to-end feature ownership from concept to production.

Lead technical POCs and pre-sales engagements to turn proofs-of-concept into production deployments. Troubleshoot complex integrations (identity, security, networking, observability), design custom solutions, run onboarding and enablement, and act as the technical lead during sales to ensure successful rollout and adoption.

Lead a cross-functional web platform team owning the CMS, AI-assisted landing page tooling, design system, and web performance. Partner with product, design, and growth to drive acquisition/onboarding, provide hands-on technical direction, coach engineers, and deliver high-quality, scalable web platform capabilities.

Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI.