Applied AI Engineer
Core
Design and build production-grade Agentic AI systems for complex reasoning across financial data, legal documents, and unstructured information to automate credit origination.
Role type
Senior IC Applied AI Engineer (Agentic AI)
Builds
Multi-agent orchestration systems, LLM pipelines, and scalable AI infrastructure for credit underwriting
Domain
Financial services / AI / LLMs
Deliverable
production ML models
Required skills
Python, JavaScript, Agentic AI, LLMs, LangChain, DSPy, GEPA, RAG, multi-agent orchestration, SQL/NoSQL, vector databases, AWS/Azure, Docker, CI/CD
Preferred skills
RLHF, RLAIF, model fine-tuning (LoRA, QLoRA), graph databases, financial services domain knowledge
Technologies
LangChain, DSPy, GEPA, Langfuse, Weights & Biases, Helicone, MCP, AWS, Azure
Responsibilities
Design stateful multi-agent AI systems; Build and optimize LLM pipelines; Implement RAG, prompt optimization, and human-in-the-loop workflows; Develop AI evaluation frameworks; Implement AI observability; Build ETL pipelines and data models; Integrate external tools via MCP; Deploy and maintain AI services; Implement CI/CD and Infrastructure as Code
Seniority
Senior, hands-on IC
