Onsite AI Engineer for Enterprise Financial Research

Kepler AI; New York (NY); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision insurance

Daily lunch in the office

Unlimited PTO policy

Development environment budget

Learning budget for conferences and courses

Job summary

A leading AI research platform company in New York is seeking a Forward Deployed Engineer to work directly with sophisticated financial firms. The role involves deploying and optimizing AI-native research platforms according to client needs. Ideal candidates possess 3 to 5 years of software engineering experience, strong client-facing skills, and full-stack development capabilities. The position offers mentorship from seasoned engineers and focuses on innovative solutions in the financial research landscape.

Qualifications

• 3 - 5 years of software engineering experience with enterprise systems.
• Previous role as Forward Deployed Engineer or Solutions Engineer.
• Strong capabilities in Python/TypeScript development.
• Experience with database and enterprise security integrations.
• Comfortable presenting to C-level executives.

Responsibilities

• Deploy and customize AI research workflows at client sites.
• Identify technical gaps and implement new capabilities.
• Design complex integrations with client data infrastructure.
• Ensure platform reliability for critical research operations.

Skills

Software engineering experience

Client-facing technical experience

Full-stack development skills

Enterprise integration expertise

Communication skills

Travel flexibility

Tools

Python

TypeScript

Node.js

PostgreSQL

Redis

AWS

Docker

Kubernetes

Apache Airflow

Job description

A leading AI research platform company in New York is seeking a Forward Deployed Engineer to work directly with sophisticated financial firms. The role involves deploying and optimizing AI-native research platforms according to client needs. Ideal candidates possess 3 to 5 years of software engineering experience, strong client-facing skills, and full-stack development capabilities. The position offers mentorship from seasoned engineers and focuses on innovative solutions in the financial research landscape.