Top Tech Jobs & Startup Jobs

Serve as the senior hands-on technical lead for a small product engineering team. Build and own customer-facing AI-driven features across the full stack, including interfaces, backend services, infrastructure, and data pipelines. Mentor junior engineers, establish code review and engineering practices, guide architecture, and collaborate with product, customer-facing teams, and leadership to define priorities. The role requires recent production experience with language-model functionality and may involve AI evaluation, LLM observability, and agentic pipelines.

Build and maintain server-side software for a production product, owning projects from concept through launch. Develop scalable backend components, contribute to a new product area, improve code review and developer tooling, and enhance automated build and deployment pipelines. Collaborate closely with senior staff and executives in an on-site, autonomous team while maintaining dependable and responsive systems.

Build and own full-stack features for fintech products, with emphasis on high-volume backend services supporting lending, payments, payouts, ledgers, payroll, point of sale, and inventory workflows. Design scalable systems, contribute to architecture and engineering practices, use AI-assisted development, and collaborate with product, design, and engineering teams in a fast-moving greenfield environment.

Build and maintain customer-facing software for engineering teams, including geometry-file uploads, computational job workflows, result review, data handling, service endpoints, and visualization features. Own features from specification through release, migrations, and production reliability while collaborating with researchers, domain experts, and customers. Work across frontend and backend systems in a fast-growing AI software company.

Own the full sales cycle from prospecting and inbound calls through contract close. Manage short sales cycles, run product evaluations, demonstrate security tooling gaps, and build consensus with technical and executive buyers. Close high-value deals ranging from $200,000 to $400,000 or more in annual contract value. Attend recurring industry events and trade shows, contribute to sales strategy, and collaborate with founders and sales representatives.

Designs and runs safety evaluations for advanced AI models, including benchmarks and test environments for reward gaming, sabotage, deception, capability improvement, and constraint violations. Reviews model trajectories, experiments, and failures; audits evaluations for contamination and weak grading; collaborates with engineers on reproducible scoring environments; and publishes benchmark releases, research reports, and recommendations.

Founding Software Engineer responsible for designing, building, and releasing full-stack software, including conversational AI features using voice and text. The role involves integrating external systems, owning features from concept through launch, contributing across client and server code, and partnering with company leadership on product priorities and technical direction.

Build, test, release, and operate backend services from initial design through production. Lead sizable engineering projects, develop test environments, respond to incidents, monitor reliability, expand job orchestration and AWS cloud infrastructure, and design scalable distributed systems. The role also involves mentoring junior engineers and may include browser automation or LLM-based agent work.

Build and own full-stack features, backend services, and data models for internal business software. Translate complex operational logic into maintainable systems, manage software from concept through production, and develop automation that reduces manual business-process work. The role requires shipped product or backend experience, paid coding experience in modern scripting or web languages, and accountability for live server-side systems. Experience in insurance or other compliance-heavy industries, plus React, JavaScript, Ruby, or Kotlin knowledge, is advantageous.

Advises senior legal professionals on adopting legal technology. Partners with account executives, leads workflow-based product demonstrations, designs and manages customer trials, establishes success measures, supports implementation and adoption, and shares customer feedback with product and sales teams. Contributes to marketing content and stays current on legal AI trends.