AI Full-Stack Engineer
Core
Design, build, and ship production-grade full-stack AI-powered applications from scratch or scale existing prototypes to production.
Role type
Senior/Staff AI Full-Stack Engineer
Builds
Production AI applications, frontends, and backend services integrating LLMs and agentic workflows.
Domain
Financial services, digital assets, and AI infrastructure.
Deliverable
production ML models | product features
Required skills
React, Python, Kubernetes, Terraform, PostgreSQL, AWS, LLM integration, CI/CD pipelines, security implementation (AuthN/AuthZ, RBAC), streaming UIs (SSE/WebSockets), async API frameworks.
Preferred skills
Financial services domain experience, Capital Markets/Digital Assets knowledge, vector databases, AI feature quality evaluation.
Technologies
React, Python, FastAPI, Kubernetes, Terraform, Docker, PostgreSQL, Databricks, Redis, AWS (Bedrock, SageMaker, AgentCore, EC2, ECS/EKS, Lambda, API Gateway, S3, IAM, CloudWatch, VPC).
Responsibilities
Design and build full-stack AI applications; build responsive React frontends for real-time AI rendering; build scalable Python backends integrating LLMs; implement data layers with PostgreSQL/Databricks/Redis; re-architect and scale AI prototypes to production; implement CI/CD, automated testing, and observability; advise teams on architectural best practices and reusable patterns; mentor engineers on full-stack AI development.
Seniority
Senior/Staff, hands-on IC with advisory scope