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Recently posted jobs
Artificial Intelligence • Fintech • Software • Financial Services
Owns the design, implementation, and operation of third-party integrations, public APIs, SDKs, and internal connectors. Builds resilient event-driven systems using Node.js, TypeScript, PostgreSQL, Kafka, Redis, and Kubernetes. Responsibilities include system design, performance optimization, production incident response, legacy-code refactoring, API versioning, monitoring, technical leadership, mentoring, and cross-functional collaboration.
Artificial Intelligence • Fintech • Software • Financial Services
Senior Solutions Engineer serving as a technical partner across pre-sales and post-sales activities. Responsibilities include discovery, solution design, product demonstrations, proof-of-concepts, implementation planning, onboarding, integrations, customer training, technical documentation, feedback collection, and expansion support. The role requires collaboration with Sales, Customer Success, Product, Engineering, and Data teams while supporting financial institutions and fintechs using AI-powered KYB, KYC, AML, fraud detection, and identity verification solutions.
Artificial Intelligence • Fintech • Software • Financial Services
Manage onboarding, implementation, training, and ongoing relationships for fintech clients using AI-driven underwriting and decisioning solutions. Own a book of business, drive adoption and account growth, resolve workflow and integration issues, lead client meetings and QBRs, monitor success metrics, gather product feedback, and collaborate internally to improve customer outcomes.
Artificial Intelligence • Fintech • Software • Financial Services
Design and ship production-grade agentic AI systems for KYB, underwriting, case review, and risk monitoring. Own agent architecture, retrieval, tools, evaluation, observability, MLOps, reliability, and compliance guardrails. Partner with AI, product, platform, security, and legal teams to turn ambiguous product opportunities into deployed features. Mentor engineers and establish practices for safe, measurable, and reliable LLM systems in regulated financial environments.
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