Job
Core
Design and deploy internal AI products and agentic workflows using a hybrid stack of custom microservices and managed services.
Role type
Senior AI Engineer (Mentor & Architect)
Builds
Internal AI products, agentic workflows, and high-performance REST APIs
Domain
FinTech / AI Engineering / LLM Orchestration
Deliverable
production ML models | product features | infrastructure
Required skills
Python, FastAPI, PostgreSQL (pgvector), AWS, Amazon Bedrock AgentCore, multi-agent frameworks (LangGraph, CrewAI, AutoGen, LlamaIndex, MCP), Docker, Kubernetes, CI/CD, LLM observability, team mentoring
Preferred skills
AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect, production RAG systems, internal developer platforms, systems languages (Go, C++)
Technologies
FastAPI, Amazon Bedrock AgentCore, PostgreSQL, pgvector, LangGraph, CrewAI, AutoGen, LlamaIndex, MCP, Docker, Kubernetes, OpenTelemetry, LangSmith, Phoenix, CloudWatch
Responsibilities
Mentor a team of 3 AI Engineers on technical architecture and skill development; Design and deploy internal AI products and agentic workflows; Develop high-performance REST APIs and asynchronous microservices; Architect scalable data layers and persistent state stores; Build and optimize multi-agent orchestration systems; Partner cross-functionally to translate business requirements into AI automations; Implement AI guardrails and evaluation suites; Establish LLMOps standard practices
Seniority
Senior, hands-on IC with mentorship responsibilities
