Senior Full Stack Engineer, GenAI
Core
Design, build, and scale enterprise-grade GenAI and agentic applications with maintainable, secure, scalable, reliable, production-ready architecture.
Role type
Senior IC full-stack engineer (GenAI)
Builds
Enterprise-grade AI and agentic platforms that improve business processes at scale
Domain
Payments technology / Generative AI
Deliverable
production ML models | product features
Required skills
software architecture, distributed systems, API design, cloud-native platforms, data-intensive applications, React, Python, Node.js, Java, PostgreSQL, Redis, vector databases, AI workflow automation, LLMs, RAG architectures, agentic systems
Preferred skills
shaping technical strategy, system design tradeoffs, modern LLM ecosystems, agent frameworks, enterprise AI deployment patterns, leading cross-functional AI initiatives
Technologies
OpenAI, Anthropic, FastAPI, AWS, Azure, Docker, Kubernetes, MCP, Prometheus, Grafana, CSS, JavaScript, Git
Responsibilities
Design and implement retrieval-augmented generation solutions including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and evaluation. Develop scalable backend services in Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and resiliency. Build modern frontend experiences in React using component-based design, state management, reusable UI patterns, accessibility, performance tuning, and backend integration. Implement AI-enabled workflow automation capabilities such as intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related APIs/SDKs, including prompt orchestration, tool calling, structured outputs, streaming, model routing, and evaluation patterns. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring.
Seniority
Senior, hands-on IC