Top Tech Jobs & Startup Jobs

Build and own backend services for an enterprise AI platform: APIs, policy enforcement engines, model gateway, orchestration, and PostgreSQL data layer. Work across TypeScript, Go, and AWS; monitor, debug, and ship production systems at scale.

Design, implement, and own full-stack product features and systems powering clinical and operational workflows. Build backend services, APIs, integrations, and frontend interfaces (React/Next.js); debug production issues; ensure reliability, maintainability, and scalability; participate in design, architecture, and code reviews while collaborating with engineers, designers, and clinical stakeholders.

Develop and deploy computer vision capabilities, implement image analytics, support multimodal AI workflows, and optimize performance in a mission-driven environment.

The Senior Director of Generative & Agentic AI will lead Babel Street's AI strategy, architecting scalable AI capabilities and collaborating across teams for product integration and operational excellence in risk intelligence applications.

Lead design and implementation of an edge-native intelligent processing platform integrating SDRs, edge AI, distributed inference, resilient peer-to-peer communication, containerized services, CI/CD and DevSecOps; integrate hardware/software, mentor engineers, produce documentation, and support demos and customer evaluations.

This role alerts candidates about startup opportunities and encourages diverse applications. It focuses on building inclusive workplaces.

Design, build, and operate an enterprise-grade Agentic AI platform for federal/national security customers. Architect production LLM services, agent orchestration, retrieval and vector search pipelines, CI/CD, observability, and AI governance. Lead technical direction, mentor engineers, collaborate across product/security/infrastructure, and deliver secure, scalable, production-ready AI workloads and documentation.

Design, optimize, and deploy ML and LLM capabilities for resource-constrained heterogeneous edge platforms. Build efficient inference pipelines, RAG/semantic search, distributed inference orchestration, model optimization (quantization/pruning/distillation), monitoring, evaluation, and AI governance. Integrate models into production software, support multimodal and sensor analytics experiments, document results, and assist with customer demonstrations and prototypes.

The Senior Data Engineer will design cloud-based data storage solutions, develop ETL/ELT pipelines, and support AI operations while managing data access layers and governance best practices.

Serve as the first dedicated Sales Engineer, lead technical discovery and tailored demos for CISOs and executive stakeholders, respond to security questionnaires/RFPs, build demo environments and technical collateral, create the SE playbook, and implement AI-driven automations to accelerate go-to-market.