Job Title: Full Stack AI Engineer
Location: Hybrid (Chicago 3 days onsite)
Salary Range: $150000 $% bonus
Job Summary:
We are seeking a Full Stack AI Engineer to design build and deploy production-grade LLM applications including RAG-powered assistants agent workflows and internal AI tools with strong user experience. This role involves end-to-end ownership across frontend (React/TypeScript) backend APIs (Python/FastAPI) and LLM orchestration on AWS.
You will collaborate closely with cross-functional business and technical teams to turn real-world investment and operational needs into scalable secure and reliable AI-driven solutions.
Key Responsibilities:
-
Build and ship production LLM applications and agent-based workflows
-
Design and implement end-to-end RAG pipelines and vector search solutions
-
Develop frontend components to improve usability and workflow design
-
Integrate LLMs using AWS services including model orchestration and evaluation
-
Ensure secure scalable and well-observed systems in a cloud environment
Required Skills:
-
Experience with React/TypeScript and Python/FastAPI
-
Proven experience shipping LLM-powered applications to production
-
Hands-on experience with RAG pipelines vector databases and agentic workflows
-
Strong SQL and cloud experience (AWS preferred)
Qualifications:
-
Bachelors or Masters degree in a technical or quantitative field
-
3 6 years of experience in software full stack or AI engineering
-
Experience in financial services is a plus but not required
Job Title: Full Stack AI Engineer Location: Hybrid (Chicago 3 days onsite) Salary Range: $150000 $% bonus Job Summary: We are seeking a Full Stack AI Engineer to design build and deploy production-grade LLM applications including RAG-powered assistants agent workflows and internal AI tools with ...
Job Title: Full Stack AI Engineer
Location: Hybrid (Chicago 3 days onsite)
Salary Range: $150000 $% bonus
Job Summary:
We are seeking a Full Stack AI Engineer to design build and deploy production-grade LLM applications including RAG-powered assistants agent workflows and internal AI tools with strong user experience. This role involves end-to-end ownership across frontend (React/TypeScript) backend APIs (Python/FastAPI) and LLM orchestration on AWS.
You will collaborate closely with cross-functional business and technical teams to turn real-world investment and operational needs into scalable secure and reliable AI-driven solutions.
Key Responsibilities:
-
Build and ship production LLM applications and agent-based workflows
-
Design and implement end-to-end RAG pipelines and vector search solutions
-
Develop frontend components to improve usability and workflow design
-
Integrate LLMs using AWS services including model orchestration and evaluation
-
Ensure secure scalable and well-observed systems in a cloud environment
Required Skills:
-
Experience with React/TypeScript and Python/FastAPI
-
Proven experience shipping LLM-powered applications to production
-
Hands-on experience with RAG pipelines vector databases and agentic workflows
-
Strong SQL and cloud experience (AWS preferred)
Qualifications:
-
Bachelors or Masters degree in a technical or quantitative field
-
3 6 years of experience in software full stack or AI engineering
-
Experience in financial services is a plus but not required
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