Job
Core
Design, build, and maintain production LLM-powered features and pipelines for generative AI products handling financial and trading data.
Role type
Applied AI Engineer (Generative AI/LLM)
Builds
Production LLM systems, agentic workflows, and prompt evaluation pipelines for a fintech SaaS platform.
Domain
Fintech / Generative AI
Deliverable
production ML models
Required skills
Python, REST APIs, SQL, Docker, git, concurrency, LLM API integration (OpenAI/Anthropic/xAI), prompt engineering, prompt evaluation, multi-agent system design, MCP tooling
Preferred skills
Fintech domain knowledge, model fine-tuning, RAG, LLM optimization, GPU infrastructure, Kubernetes, cloud platforms (AWS/GCP)
Technologies
Python, OpenAI, Anthropic, xAI, MCP, Docker, Kubernetes, AWS, GCP
Responsibilities
Design and build LLM-powered features for financial/trading content; develop multi-agent workflows and MCP integrations; write production backend services; iterate on prompt pipelines; manage LLM cost/latency/reliability trade-offs; collaborate on architecture and code review.
Seniority
Mid-level, hands-on IC
