AI and Machine Learning Jobs

Own operational tooling for production LLM systems, including prompt and pipeline versioning, evaluation, observability, cost controls and safety guardrails. Build RAG/vector-store pipelines and backend services with Python/Java/TypeScript/Go, Docker, Kubernetes and cloud platforms. ...read more

Build end-to-end product features and scale backend services for payments, expense management and commerce workflows. Work with Java/Spring Boot, microservices, APIs and modern frontend frameworks in an AI-first engineering team. ...read more

Design and implement reliable backend components for enterprise identity recovery and security workflows. Build Java/Spring Boot services, REST APIs and event-driven systems using MySQL, Kafka, Redis and distributed-system patterns. ...read more

Set technical direction for developer-facing identity and authorization tooling, including SDKs, APIs and possible MCP surfaces. Lead architecture and releases across Go, JavaScript/TypeScript, .NET, Python and Java, and mentor engineers. ...read more

Bring transformer models from reference implementations to efficient execution on AI accelerator hardware. Work across PyTorch, C++, MLIR, compiler lowering, inference optimization, quantization and numerical validation. ...read more

Develop production software for large-scale financial technology systems, with emphasis on reliable services, testing and maintainable code. The listing highlights MySQL, test-driven development and C++ among its engineering skills. ...read more

Build and operate backend services for digital-asset infrastructure, focusing on APIs, data models and reliable distributed systems. The listing highlights MongoDB, Node.js and microservices. ...read more

Build and support production backend services and integrations using cloud services, databases and microservice patterns. The listing highlights AWS, DynamoDB and distributed backend technologies. ...read more

Build and maintain backend product services for a financial technology platform. Work with APIs, databases, cloud infrastructure and production reliability in a product engineering team. ...read more

Lead architecture for voice AI platforms, including audio acquisition, conversation management, speech generation and model integration. Build distributed Voice AI and agentic systems using Python/Go/Java, Kubernetes and LLM-based workflows. ...read more