.NET Engineers – AI-Forward Legal Tech

The Developer Link; New York (NY); Hybride; USD 110 000 - 150 000; Plein temps

Résumé du poste

The Developer Link is partnering with a fast-growing legal-tech client in New York seeking mid-level and senior .NET engineers. Candidates should be proficient in C#/.NET and comfortable across backend or full-stack roles, with a strong AI-forward mindset that embraces AI coding tools to boost productivity.

Join a dynamic AI-forward engineering organization in a hybrid New York setup, contributing to scalable cloud-based solutions, APIs, microservices, and distributed systems while collaborating

Qualifications

• Mid-level+ .NET experience with C#.
• Experience in backend to full-stack roles.
• AI-forward approach to software development.

Responsabilités

• Build and scale applications using C#/.NET and modern cloud technologies.
• Work across either backend-heavy or full-stack development depending on experience.
• Design and work with APIs, integrations, microservices and distributed systems.
• Work on products increasingly incorporating AI, LLMs, intelligent automation and document processing.
• Use AI-assisted development tools as part of the engineering workflow.
• Debug complex problems by breaking them down and solving them step-by-step.
• Build tools and automation to improve team efficiency.
• Collaborate with product and engineering teams in evolving environments.

Connaissances

C#/.NET

Backend development

Full-stack development

AI-forward mindset

Problem solving

Description du poste

My client is a fast-growing legal-tech business using AI and intelligent automation to transform how law firms and legal teams work.

As they continue to grow their engineering teams in New York, they’re looking for a variety of .NET Engineers at Mid-level and above, ranging from backend-focused developers through to full-stack engineers.

They’re an AI-forward engineering organisation, so they’re particularly interested in developers who are already embracing AI in the way they code, solve problems and improve their own productivity.

What you’ll be doing

• Build and scale applications using C#/.NET and modern cloud technologies.
• Work across either backend-heavy or full-stack development, depending on your experience and interests.
• Design and work with APIs, integrations, microservices and distributed systems.
• Work on products increasingly incorporating AI, LLMs, intelligent automation and document processing.
• Use AI-assisted development tools as a genuine part of your day-to-day engineering workflow.
• Debug complex problems by breaking them down and working through them systematically.
• Build tools and automation to make yourself and the wider engineering team more effective.
• Work closely with product and engineering teams in an environment where the answer or process isn't always clearly defined.

What we’re looking for

• Mid-level+ .NET Engineers with strong commercial C#/.NET experience.
• Backgrounds ranging from backend engineering to full-stack development.
• Engineers who are genuinely AI-forward in their approach to software development — not just occasionally using ChatGPT, but actively experimenting with AI coding tools and finding ways to improve how they build software.
• Bonus points if you've gone deeper with things like custom AI workflows, agents, MCP servers or your own development tools/skills.
• Comfortable working with microservices, APIs and complex distributed systems.
• Able to thrive in ambiguity and make progress when requirements, processes or solutions aren't perfectly defined.
• Strong problem-solving and debugging skills.
• Someone collaborative, easy to work with and able to handle feedback and technical disagreement constructively.
• Pragmatic engineers who care about quality but don't need perfect processes around them to get things done.

Why join them?

• Join an AI-forward business actively changing how its engineers build software, rather than simply adding AI features to existing products.
• Multiple engineering opportunities, allowing them to match people to teams based on their strengths and interests rather than forcing everyone into the same box.
• Opportunity to work across established platforms and newer AI-driven initiatives.
• Product-driven environment where engineers have input into technical and architectural decisions.
• Hybrid New York setup, working closely with the wider engineering team.
• Strong opportunity for progression as the business continues to grow and invest in technology.