Mid to Senior Full-Stack .NET AI focused engineer

Mid to Senior Full-Stack .NET AI focused engineer 

Hybrid with one day a week in the Pittsburgh office. Travel opportunities as well. 

Detailed Description: 

We are building AI that engineers actually trust inside systems that manage real infrastructure used by public agencies nationwide. We are looking for someone to join the team and gets hands-on building the solution and shipping real features.  

We are looking for a Full Stack Applied AI Engineer. The AI we are building lives in explainability. Each step along the way must make sense, and be defensible for civil engineering decision makers.  

You will shape standards across the team as we grow and will directly influence the product direction.  

Senior level individual contributor with product influence.  

What this role is NOT: 

• Research into AI models or making research papers  

• Building models or extensive training exclusively  

• Data scientist role  

When you start: 

• Within your first week, you will have a PR merged in. You will be contributing right away.  

• Once we are aligned on capabilities and gaps, we will establish a 30/60/90 day onboarding schedule with check-ins and clear goals to make sure you are calibrated and meaningfully contributing early and often, while learning to fill in knowledge gaps you will grow into.  

• By 90 days, the goal is that you are integrated as a regular member of the team. This will be fast-paced with strong emphasis on execution.  

Requirements:  

• The technology stack would be very similar to what is in this video:  

• https://youtu.be/YdbqZO2Ff1g  

• Modern C# and .NET  

• REST APIs  

• Blazor  

• Blazor WASM  

• Blazor Hybrid  

• General HTML/CSS/JavaScript  

• LLM and RAG technique experience  

• SQL Database familiarity (SQLite, Postgres)  

• Entity framework  

• Ability to work largely independently  

• Looking for someone with an entrepreneurial spirit. They will treat this job like it’s their own business and work beyond just requirements to understand the features to be built and improve upon them.  

• Contribute to long-term product and feature planning.  

• Ability to discuss and bring features from ideas to reality and implement them in a production environment.  

• For example, if we say we want to implement a feature where users of ChatGPT can share threads with each other, you’d ask questions like:  

• Can the person that thread is shared with see the uploaded files from the original creator?  

• What happens when the thread is updated? Can both parties see the updated content?  

• If someone shares a thread, can they revoke sharing it later?  

• Can you share as read-only, or should the person receiving the thread be able to continue it? 

• You’d put yourself in the mind of a user to understand what they would want and get as much clarification up front as you can and as you progress.  

• Ability to work with customers to understand their needs.  

• Ability to assist in onboarding other team members as we expand.  

• Detailed note-taker  

• Familiarity with working with AI powered workflows, such as GitHub Copilot  

• Git  

• GitHub Actions  

• General Machine Learning techniques and experience  

Nice to have: 

• Semantic Kernel or Microsoft Agent Framework  

• AWS and production level hosting DevOps  

• OpenTelemetry monitoring  

• LLM AI Benchmarking and evaluations experience  

• Python AI and ML experience  

• Vision models such as YOLO  

• ONNX familiarity  

• Open-source experience or other projects we can see  

• Bonus points if you take this library and build something with it: https://github.com/Eddie-Hartman/BlazorWASMEntityFrameworkSQLite  

• PWA familiarity  

• Experience deploying to Google Play and the Apple App Store  

• Vector embeddings store familiarity  

Benefits:  

• Unlimited PTO
• Life Insurance at no cost to employees
• Short-term and long-term disability at no cost to employees
• Paid maternity and paternity leave 
• Healthcare insurance (Premiums are partially paid for by Mayvue)
• Dental and vision at no cost to employees and dependents
• Optional supplemental life insurance
• Receive $1,000.00 per year for Continuous Learning Allowance
• Receive 1 day paid per year as a Community Service Allowance
• Onsite gym in Pittsburgh office
• Health Savings Account and Dependent Care Flexible Savings Account
• Employer contributions to your 401(k) up to 50% of contributions on the first 5% deferred
• Have your favorite snacks and beverages when you work in our Pittsburgh Headquarters
• Hybrid/remote work available
• Flexible schedule

Mayvue provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training