Top Tech Jobs & Startup Jobs

Lead a team building AI-native, governed engineering harnesses and full-stack microservice systems. Design agentic orchestration, typed contracts, observability, CI/CD integration, and developer tooling to enable safe, auditable LLM-driven workflows in cloud environments.

Provide strategic legal counsel for Discover Network on US commercial contracts and product initiatives, focusing on merchant relationships, negotiating and drafting agreements, supporting payment and fintech innovation, developing rule sets, improving contracting processes, and partnering with internal legal, business, risk, and compliance teams.

Lead AI Engineer to design, build, deploy, and support production-scale vision and foundation-model components (training, inference, vector search, guardrails, evaluation, observability). Partner with cross-functional teams, optimize LLM training/inference for cost/latency/throughput, and help set the technical vision and roadmap for foundational AI systems at Capital One.

The role involves collaborating with teams to develop AI-powered products, leveraging NLP and LLM technologies while operationalizing models into production systems.

Provide legal counsel and lead strategy for Discover Global Payment Network commercial agreements, product launches, and risk mitigation across Latin America, the Caribbean, and Canada. Negotiate and draft contracts, support fintech and payment innovation, partner with internal legal, risk, and business teams, and drive process and template improvements to enable growth.

Design, develop, deploy, and support foundational AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize training/inference for scalability, cost, latency, and throughput. Partner cross-functionally to deliver production AI services and shape the technical vision and roadmap for foundational AI at scale.

Lead model validation and risk quantification across business domains. Partner with data scientists, engineers, and PMs to build and challenge production models using Python, Spark, H2O, and cloud tools. Drive model governance, backtesting, and present identified model risks to executives while mentoring teams and advancing validation frameworks.

Lead and mentor a team to design and deliver cloud-based, full-stack microservices solutions (Go/Angular) on AWS. Collaborate with product managers, use containerization and orchestration (Docker/Kubernetes), and integrate databases and cloud services to meet regulatory and customer needs.

Lead development, deployment, and maintenance of production ML and AI systems (including LLM inference, RAG, similarity search, observability, and governance). Collaborate cross-functionally to build data pipelines, fine-tune foundation models, apply responsible AI practices, and contribute technical vision for scalable, high-performance AI infrastructure in risk management.

Lead a team delivering full-stack, cloud-native microservices and applications. Collaborate with product managers, mentor engineers, experiment with emerging tech, and build solutions using JavaScript/Java/TypeScript/Python/Go, containers, databases, and AWS to meet regulatory and customer needs.