AI Engineer
Core
Design, build, and maintain high-performing AI applications, RAG pipelines, and data integrations for enterprise finance operations.
Role type
Senior individual contributor AI Engineer
Builds
Modular AI applications, RAG pipelines, microservices, and ETL/ELT pipelines for finance tools and databases
Domain
Enterprise Finance, AI Engineering, MLOps
Deliverable
production ML models
Required skills
Python (FastAPI/Flask, Pydantic), SQL, RAG frameworks, vector databases, Docker, CI/CD pipelines, dbt, ETL/ELT
Preferred skills
None stated
Technologies
FastAPI, Flask, Pydantic, SQL, Docker, dbt, vector databases, API gateways
Responsibilities
Build and deploy modular AI applications and RAG pipelines; Co-own codebases and infrastructure to eliminate single points of failure; Maintain Dockerized deployments and automated CI/CD pipelines; Implement real-time monitoring, error logging, and cost tracking; Engineer robust ETL/ELT pipelines for structured and unstructured data.
Seniority
Senior, hands-on IC
