Engineer

Role: Principal Engineer (.Net)

The Role:

We are hiring a Principal Engineer as a hands-on technical leader. You will operate as a forward-deployed engineer embedding directly with portfolio companies and product teams to build new products from zero-to-one rewrite existing products from the ground up using AI-native approaches and take on high-leverage special projects for Venture AI Labs. This is not a role where you will hand off designs and watch others build. You will architect write code review code and set the technical bar for the teams around you.

What Youll Do

Your work will span four distinct but connected tracks:

• Full AI-native product rewrites. Take an existing product and rebuild it entirely using an AI-native approach rethinking architecture data model UX and delivery pipeline rather than porting the old system one-for-one. You will prove out what AI-first from the ground up actually looks like in production.
• Rapid modernization for portfolio companies. Parachute into portfolio companies to accelerate the build of a new product inside one of Embraces six regulated industry verticals. You will bring AI-first engineering practices modern architecture and senior judgment to teams that need to ship quickly without compromising on the compliance and reliability these markets demand.
• Net-new products for regulated markets. Build entirely new products aimed at these same regulated verticals not by digitizing existing workflows but by rethinking the workflows themselves now that AI makes previously impossible experiences possible.
• Venture AI Labs special projects. Take on high-impact high-ambiguity initiatives out of Venture AI Labs applied research prototypes and strategic bets that the CTO and CEO need moved forward by a senior engineer who can operate independently.

Across all of this you will also:

• Lead AI-first development where the majority of code is produced through leading AI coding tools (Claude Code Codex GitHub Copilot Cursor JetBrains AI). You will set the patterns for how humans and AI agents collaborate to ship production software safely and quickly.
• Own architecture and solutioning end-to-end: system design technology selection data models API contracts deployment topology and non-functional requirements (performance security observability cost) with extra care given the regulated environments we operate in.
• Drive code review standards and raise the quality bar across teams for both human-written and AI-generated code. Establish review practices automated guardrails and evaluation approaches specific to AI-assisted workflows.
• Partner with the CTO Engineering Leadership on technical strategy across the portfolio and with the CEO on initiatives that connect engineering directly to business outcomes.
• Mentor senior and lead engineers across the group; model what great looks like in an AI-first polyglot environment.

Requirements

What Were Looking For

• 612 months of demonstrable AI-first development experience where the majority of your code has been written through Claude Code Codex GitHub Copilot Cursor or JetBrains AI. You have strong opinions on prompting agent orchestration context management review workflows and when to trust (or distrust) AI output.
• Deep expertise / C# as a primary stack with Python as strong supporting technology. Being a polyglot is a meaningful plus we value engineers who reach for the right tool.
• A track record of architecting and shipping non-trivial systems: distributed services data-intensive applications cloud-native deployments and integrations.
• Experience rewriting re-platforming or significantly modernizing existing products you know the difference between a port a refactor and a rethink.
• Strong fundamentals in software design testing strategy CI/CD observability and secure-by-default engineering. Comfort operating in regulated environments is a plus.
• Experience as a forward-deployed or embedded engineer  comfortable with ambiguity direct customer contact and shifting context across products and teams.
• Excellent communication  able to align engineers product and executives around a technical direction.
• Bias to action high ownership and the judgment to know when to move fast and when to slow down.

Nice to Have

• Experience leading or managing a pod in a high-velocity R&D group innovation lab incubator fast-moving startup or an equivalent skunkworks-style team inside a larger enterprise is a meaningful differentiator. We want engineers who know how to run small focused teams that ship.
• Experience building with LLMs directly RAG evals agent frameworks tool use fine-tuning.
• Prior work inside regulated industries (financial services healthcare legal insurance compliance-driven SaaS etc.).
• Open-source contributions or public technical writing on AI-assisted development.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time