Full Stack Software Engineer (Polyglot Developer, Artificial Intelligence) at CONFISA INTERNATIONAL GROUP

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Polyglot Development, Artificial Intelligence, LLM Integrations, Runtime Orchestration, Data Workflows, Serverless Infrastructure, Python, TypeScript, JavaScript, Rust, Go, Vector Databases, Systems Design, Performance Optimization, Production-Grade Systems, Communication

Industry

Staffing and Recruiting

Description

Job Description Full Stack Software Engineer (Polyglot Developer, Artificial Intelligence) Location: 4 days onsite commute - Chicago, Illinois YoE: 5+ Project duration: 12+ month Full-time dedication (40 hours/week) Start Date: Immediately Rate Range: Competitve, TBD Company Overview: Our client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. About the Role: 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. Required Skills: Willingness to work onsite in Chicago four days per week Minimum 5+ years of proven experience as a polyglot developer (strong proficiency in multiple programming languages such as Python, TypeScript/JavaScript, Rust, Go, or similar) Real-time, hands-on experience building and deploying solutions using modern AI tools (LLMs, vision models, embeddings, vector databases, orchestration frameworks, etc.) Strong computer science fundamentals (data structures, systems design, performance optimization, debugging) Experience shipping production-grade systems end-to-end Ability to rapidly learn and adopt new tools and frameworks Clear communication skills; comfortable presenting technical solutions to non-technical stakeholders High ownership mindset and comfort operating in ambiguous, client-driven environments Bonus Skills: Experience in financial services, private equity, banking, or consulting Background in client-facing engineering or technical strategy roles Offer Details: Contractor position (no medical/paid leave) Full-time dedication (40 hours/week) Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

This backend engineering role focuses on simplifying the infrastructure behind large language model integrations, runtime orchestration, and data workflows for a financial research platform. The engineer will work at the intersection of LLM tooling, serverless infrastructure, and financial data systems to ensure research pipelines are seamless and scalable.