Top Tech Jobs & Startup Jobs in Boston, MA

Own and implement the platform's security and compliance posture (SOC 2, PCI, HIPAA). Design and automate controls and evidence pipelines, secure PII and tenant isolation across a multi-tenant platform, harden AI/LLM systems, partner with domains and CTO, and write production code to make compliance continuous and auditable.

Build and own an internal AI-powered recruiting pipeline: end-to-end LLM-based sourcing, screening, AI interviews, evaluation logic, and deep integrations with ATS and scheduling to automate hiring workflows.

Lead and build an end-to-end domain: design architecture, write production code, set technical bar, mentor engineers, and deliver high-impact AI products (agents, runtimes, integrations) in a San Francisco onsite role.

Lead the platform-engineering organization owning agent runtime, LLM orchestration, retrieval, integrations, data & fraud, agent-authoring, and cross-pillar infrastructure. Hire and scale the platform team, set reliability and quality standards, build tooling and eval gates, manage observability and incident response, and remain hands-on in architecture and code (TypeScript/Python). Partner with CTO and CEO to drive platform strategy and execution.

Senior individual-contributor who architects and builds an end-to-end domain: hands-on coding, setting technical standards, leading engineers, partnering with a Domain PM, and shipping production AI systems (agents, retrieval, runtime, integrations, and data platforms) at scale in a fast fintech startup.

Lead and scale the product-facing engineering organization for consumer fintech products. Hire and grow teams, drive architecture and code quality, embed AI-native tooling and practices, and ship member-facing voice/chat/BankGPT experiences while remaining hands-on in technical reviews and architecture.

Lead design and implementation of scalable platform services, own architecture/API/data model decisions, build backend systems in TypeScript and Python, integrate LLM/agentic AI into production, enforce engineering standards, and collaborate daily in-office with product, design, and data teams.

Define and own platform architecture for agentic and conversational AI systems, lead cross-functional technical initiatives, design scalable LLM integration and retrieval pipelines, establish engineering standards for scale, mentor senior engineers, and operate full-time on-site in San Francisco.