Senior AI Software Engineer (LLM GenAI)

Hamilton, MT - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Bachelors degree in Computer Science or related field (Masters 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)

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 clien...

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

Bachelors degree in Computer Science or related field (Masters 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)