Top Tech Jobs & Startup Jobs

Build and deploy production-grade AI applications using Python and Azure. Develop LLM, RAG, and agentic workflows; integrate enterprise platforms, APIs, databases, and Microsoft 365; and create scalable backend services. Partner with stakeholders to translate ambiguous business needs into production solutions while applying strong testing, security, observability, scalability, and performance practices.

Lead discovery and delivery for a next-generation web platform by translating ambiguous business concepts into wireframes, mockups, process flows, user stories, acceptance criteria, and technical specifications. Facilitate stakeholder workshops, conduct market and system research, manage technical backlogs, define role-based access and content governance models, and coordinate with architects, designers, project managers, and vendors.

Design, develop, test, and maintain enterprise COBOL applications on IBM mainframe platforms. Build and enhance batch and online transaction processing systems, troubleshoot production issues, optimize performance, and support modernization and integration efforts. Collaborate with architects, stakeholders, and engineering teams, participate in code reviews, and produce technical documentation to support mission-critical financial services applications.

Serve as executive owner of strategic enterprise accounts, driving revenue, margin, and delivery excellence. Build CxO relationships, lead complex deals, manage P&L, oversee delivery, and execute multi-year account growth strategies for AI, data, cloud, and engineering services.

Lead design, develop, implement, and maintain Siebel CRM and integrated web applications. Provide technical leadership, complex business logic development, EAI integration, SQL/PLSQL tuning, and Tier 3 support including crash-log and data sync troubleshooting.

Lead design and development of enterprise software solutions using Java and Cursor AI. Provide technical leadership, mentor engineers, define architecture and roadmaps, implement cloud-native, microservices, CI/CD and infrastructure-as-code practices, and collaborate across product and engineering teams to deliver performant, secure systems.

Senior technical leader embedded with strategic customers to design, build, and deploy production AI systems. Lead and grow FDE teams, own end-to-end architecture, agent orchestration, data integration, governance, and measurable business outcomes while translating field learning into product improvements, reusable patterns, and deployment playbooks.

Embed with strategic customers to design, build, and deploy frontier AI/LLM systems into production. Responsibilities include discovery, architecture, integration, prototyping, deployment, observability, safety evaluations, and driving adoption and product feedback.

Design and optimize large-scale AI platform internals: inference runtimes, model serving, GPU and distributed performance, context engineering, cost optimization, release safety, observability, and production reliability. Provide technical leadership, mentor engineers, define architecture trade-offs, and ensure safe, cost-efficient, and scalable deployment of LLM and agentic systems.

Design, build, and deploy AI-powered Salesforce Agentforce and Service Cloud solutions. Integrate Agentforce with CRM, Knowledge, Data Cloud and enterprise systems; implement Apex, LWC, Flows, Platform Events, APIs; ensure security, testing, deployment, and performance; collaborate with architects and stakeholders to translate business needs into scalable AI-driven solutions.