Top Tech Jobs & Startup Jobs

Lead design and delivery of agentic LLM systems to translate mainframe logic into verified modern services. Build ingestion, RAG pipelines, multi-agent orchestration, evaluation/verification harnesses, runtime platforms, ETL/CDC integrations, and operate LLMOps for production reliability while partnering with domain SMEs and driving AI-assisted engineering governance.

Lead design, build, and delivery of a next-generation SD‑WAN ecosystem. Produce HLD/LLD artifacts, define requirements, lead testing and automation, apply security and resiliency controls, maintain audit-ready documentation, and coordinate stakeholders to mitigate operational and technology risks while leveraging enterprise AI-assisted practices.

Lead design, development, testing, and maintenance of scalable Client Onboarding and KYC software. Collaborate cross-functionally, implement CI/CD, apply OOP and design patterns, drive code quality and documentation, adopt enterprise AI-assisted engineering practices, and coach teams on responsible AI usage.

Lead design and standardization of enterprise NAS architecture; drive vendor evaluations, resiliency and performance engineering, automation, and observability; partner with compute, network, cloud, application, and security teams; support SRE escalations and root-cause remediation; adopt AI-enabled workflows to improve documentation and automation.

Manage and trade systematic index rebalancing and special-situation strategies. Build and backtest index prediction models and algo-trading systems using Python and KDB. Monitor program trade execution, perform portfolio construction and risk optimization, integrate performance analytics, produce research and trading commentary, and collaborate with trading, sales, and clients to forecast flows and manage risk.

Lead design, development, testing, and maintenance of scalable Client Onboarding and KYC software. Drive CI/CD, code quality, documentation, Agile delivery, cross-functional collaboration, and responsible adoption of enterprise AI-assisted engineering practices.

Lead and manage cross-firm AI in Operations program initiatives: develop strategic plans, apply structured problem-solving and design thinking, support multiple workstreams, engage senior stakeholders, standardize AI use cases, and drive scaling and reimagination of AI capabilities across operations.

Design, build, and operate agentic LLM systems and RAG pipelines to translate legacy mainframe logic into verified Kotlin/JVM services. Develop ingestion, orchestration, verification, testing, and LLMOps infrastructure, partner with domain SMEs, extend ETL/CDC pipelines, and drive adoption of safe, enterprise AI-assisted engineering practices to deliver reliable, auditable production services.

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.

Serve as a subject matter expert on capital markets and investment solutions, present to advisors, run workshops and one-on-one meetings, support advisor development and client engagements, coordinate cross-discipline presentations, and drive divisional goals while covering a multi-region territory.