Senior AI Software Engineer (LLM / GenAI)

Role Description

• Hiring a Senior AI Software Engineer to lead design and delivery of AI-powered applications

• Part of the Platform Development team

• Focus on bridging LLMs and real financial data through backend architecture

• Build systems that make AI practical for financial advisors and clients

• Primary focus:

  • Build and scale text-to-SQL agents

  • Develop conversational AI tools

• Work within a data ecosystem including:

  • SQL Server

  • Microsoft Fabric

  • Databricks

• Key responsibilities:

  • Architect database schemas

  • Validate AI-generated SQL queries

  • Build backend services connecting AI to financial data platforms

• Core expectation:

  • AI generates SQL, but you must verify correctness and performance

• High-impact role involving:

  • Mentoring engineers

  • Driving architecture decisions

  • Establishing engineering standards

  • Promoting a culture of experimentation and delivery

• Ideal for candidates interested in applying AI to financial services problems

Responsibilities

• Lead architecture and development of text-to-SQL agent for natural language querying

• Architect AI data layer:

  • Design schemas

  • Structure data across SQL Server and modern platforms

  • Validate AI-generated SQL queries (accuracy & performance)

• Build AI integration patterns:

  • Prompt engineering

  • Retrieval-Augmented Generation (RAG)

  • Function calling

  • Agent-based workflows

• Implement AI guardrails for regulated environments

• Design and develop backend services and APIs for AI features

• Deploy and manage services on Microsoft Azure

• Mentor engineers and enforce best practices

• Drive engineering standards and technical direction

• Collaborate with product, design, and data teams for end-to-end AI delivery

Qualifications & Skills

• Bachelor’s degree in Computer Science or related field (Master’s preferred)

• 7+ years of software development experience

• Strong backend/API development on cloud platforms ( Azure preferred )

• Strong SQL expertise:

  • Writing complex queries

  • Designing schemas

  • Evaluating AI-generated SQL

• Hands-on experience with LLMs and AI services

• Proven delivery of production-grade AI features (not just POCs)

• Backend technology experience:

  • C# / .NET

  • Python

  • Java

  • or similar frameworks

• Experience with data platforms:

  • SQL Server

  • Microsoft Fabric

  • Databricks

  • or equivalents

• Demonstrated ability to:

  • Mentor engineers

  • Lead technical initiatives

• Experience in regulated industries (preferably financial services)