AI Engineer
Core
Design, develop, and deploy production-grade AI systems and intelligent agent pipelines at the intersection of software engineering and applied AI.
Role type
Senior IC AI Engineer (Agentic AI & RAG)
Builds
Scalable, reliable, high-performance AI agent workflows and Python services for FinTech trading.
Domain
FinTech, Applied AI, Agentic Systems, RAG
Deliverable
production ML models
Required skills
Python, FastAPI, LangChain, LangGraph, LangSmith, Vector Databases (Qdrant, Milvus), Prompt Engineering, LLM Inference Pipelines, Docker, Cloud Platforms (AWS/GCP/Azure), Microservices Architecture, AI Governance
Preferred skills
Self-hosted LLM optimization (vLLM, Ollama, SGLang), Open-source agentic coding harnesses (OpenCode, OpenHands, Cline)
Responsibilities
Design and deploy production-ready Python services powering AI capabilities; Architect and fine-tune end-to-end agent workflows supporting chat, search, and retrieval; Integrate and optimize vector databases for embeddings management and hybrid search; Continuously evaluate and monitor agent performance; Optimize agent systems for reduced latency, cost efficiency, and horizontal scalability; Collaborate with cross-functional teams to identify opportunities for AI adoption; Assist teams in adopting AI technologies by providing technical guidance; Enable engineering teams to maximize the effectiveness of AI-powered coding agents.
Seniority
Senior, hands-on IC
