Teams at Synpulse

Build and test agentic AI solutions for financial services workflows using TypeScript and Python. Develop interfaces, backend services, APIs, data workflows, and integrations with large language models. Collaborate with consultants and engineers to translate client needs into software, prototypes, and proofs of concept. Analyze and validate data, write tests and documentation, troubleshoot applications, evaluate AI outputs, and present solutions to clients while following security and privacy practices.

Design, develop, and implement secure, scalable full-stack software solutions for financial services clients. Translate business requirements into technical specifications, build front- and back-end applications, conduct code reviews, mentor junior engineers, and support testing, releases, QA, troubleshooting, and client deployments. Collaborate with cross-functional stakeholders while applying modern cloud, API, microservices, data analytics, and AI technologies.

Designs, builds, and optimizes scalable data pipelines, ETL/ELT workflows, data models, and cloud data infrastructure for financial services clients. Implements data mesh architectures, observability, lineage, compliance, CI/CD, and platform migrations. Collaborates with consultants, clients, business teams, QA, and support teams to deliver secure, reliable data solutions across multiple consulting engagements.