Full Stack Developer

Role Overview

Welsbach is seeking a highly capable Full Stack Developer to design, build, and scale production-grade internal systems used by senior investment professionals.

This is a high-ownership role at the intersection of finance, software engineering, and artificial intelligence. You will work directly with leadership, bankers, and analysts to translate complex real-world transaction workflows into scalable, secure, and intelligent technology solutions.

Key Responsibilities

Application Development & Architecture

• Design, develop, and maintain end-to-end web applications across frontend and backend
• Build scalable, secure, high-performance systems used across research, analytics, and internal operations
• Own architectural decisions with a focus on long-term maintainability and performance
• Manage deployments, monitoring, and continuous improvement of production systems
  
  

AI & Data Systems Development

You will play a central role in integrating AI into real financial workflows.

This includes building and deploying:

• Automated data extraction and processing pipelines
• LLM-powered workflows for research, summarization, and document analysis
• Intelligent dashboards and decision-support systems
• AI tools that work across structured and unstructured capital markets datasets
  

Additional responsibilities:

• Integrate third-party AI models and APIs into production applications
• Implement prompt engineering, embeddings, and vector database solutions
• Continuously improve model reliability, accuracy, and usability in live environments
  

Collaboration & Business Integration

• Work closely with senior leadership and investment banking teams to understand transaction workflows
• Translate complex advisory problems into clear technical architectures
• Partner across functions to deliver solutions from concept to deployment
• Provide structured input on feasibility, timelines, and system trade-offs

Platform Reliability & Security

• Ensure high standards of performance, security, and data privacy
• Implement appropriate access controls, auditability, and best practices for financial services environments
• Proactively identify technical risks and system bottlenecks
  
  

Required Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Strong foundation in software engineering and data systems
  

Professional Experience

• 3+ years building and maintaining production-grade full stack applications
• Demonstrated experience deploying and scaling live systems
• Proven experience integrating AI/ML capabilities into real products (not only prototypes)
  
  

Technical Skills

Full Stack

• Strong proficiency in JavaScript / TypeScript
• Frontend frameworks: React, Next.js, or equivalent
• Backend development using Node.js, Python, or similar
• API design (REST / GraphQL)
• Databases: PostgreSQL, MySQL, MongoDB, or equivalent

Cloud & Infrastructure

• Experience deploying on AWS, GCP, or Azure
• Familiarity with CI/CD, monitoring, logging, and system reliability

AI & Data

• Hands-on experience with LLMs
• Understanding of prompt engineering, embeddings, and vector databases
• Experience with Python data tools (Pandas, NumPy)
• Ability to embed AI capabilities into real business workflows