Software Engineer (.NET/AI)

TL;DR

Software Engineer (.NET/AI): Modernizing a market-leading investment data platform with an accent on integrating LLMs and agent-based workflows into production. Focus on building scalable .NET services, implementing RESTful APIs, and utilizing AI-assisted development to accelerate delivery.

Location: Hybrid (Pittsburgh, PA). Must be a US citizen or Green Card holder.

Company

A leading global technology solutions provider helping investment management clients solve complex data challenges.

What you will do

• Modernize a market-leading platform using .NET and C# across the wider ecosystem.
• Integrate LLMs and agent-based workflows into real-world production products.
• Design and implement RESTful APIs and service-oriented architecture.
• Collaborate with product owners, QAs, and project managers in an agile environment.
• Develop and optimize developer-productivity tooling.

Requirements

• 2+ years of professional software engineering experience with an undergraduate degree in Computer Science or equivalent.
• Strong proficiency in .NET and C# development.
• Experience designing RESTful APIs and scalable software architecture.
• Demonstrated use of AI-assisted development tools (LLMs, coding assistants) in practice.
• Working knowledge of modern JavaScript frameworks, specifically React.
• Must possess a Green Card or US citizenship.

Nice to have

• Exposure to cloud platforms, preferably Azure.
• Experience building CI/CD pipelines and general DevOps knowledge.
• Python skills for automation or AI workflows.
• Experience with containerization, prompt engineering, or agent-based systems.

Culture & Benefits

• Generous time off packages, including additional half days with public holidays.
• Global career development opportunities within a growing organization.
• Collaborative environment with continuous learning and knowledge-sharing.
• Referral bonus scheme offering up to $3,000.
• Social events and a flexible hybrid working model.

Hiring process

• Screening calls with the Talent Acquisition team and a Hiring Manager.
• AI Interview Scheduler stage.
• Final interview stage prior to the offer.