AI Engineer (Python, LLM APIs, Cloud Infra) - USA Remote
CONFISA INTERNATIONAL GROUP
13d•Remote
About The Position
An early-stage startup is redefining how financial research is conducted by creating a declarative orchestration layer akin to "Vercel for financial research." This backend engineering role focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows. You'll work at the intersection of LLM tooling, serverless infrastructure, and financial data systems to make spawning new research pipelines seamless and scalable.
Requirements
- Strong Python programming experience
- Proficiency with cloud infrastructure and serverless compute (e.g., Modal)
- Familiarity with relational databases such as PostgreSQL
- Experience integrating with LLM APIs (OpenAI, Anthropic, xAI, Google) or LLM frameworks (e.g., PydanticAI)
- Ability to work autonomously and quickly adapt to evolving tech stacks
- Excellent problem-solving skills and a builder’s mindset
Nice To Haves
- Prior experience with financial data APIs (e.g., S&P, FactSet, SEC Edgar)
- Familiarity with AI tooling APIs (e.g., Exa, Parallel)
- Previous successful engagements with other clients in similar contractor roles
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
