Full-Stack Engineer​ (.NET)

Posted 5 Days Ago
3 Locations
Remote or Hybrid
Senior level
Artificial Intelligence • Edtech • HR Tech • Software
The Role
Senior full‑stack engineer responsible for designing, implementing, and maintaining backend and frontend features in a Microsoft‑stack SaaS product. Collaborate with product managers, prototype AI capabilities, and drive production-ready AI feature delivery within a small Agile team while maintaining code quality and product focus.
Summary Generated by Built In

We are hiring (UOP only) a Full‑stack Product Engineer to join a small, cross‑functional Agile team within the Learn 365 product. The role focuses on delivering customer value through close collaboration with product management and engineering peers, combining strong technical execution with a product‑oriented mindset. Learn 365 is a SaaS learning management system designed for enterprise customers as part of the Human Success Platform. The product is built on a Microsoft‑oriented technology stack and is evolving to incorporate AI‑driven features to stay competitive in the market.

We are seeking a Senior Full-Stack Engineer with strong experience in .NET and TypeScript (3+ years) to join our AI team and help take our product capabilities to the next level.

This role goes beyond traditional development—it involves:

  • Driving the design and implementation of AI-powered features

  • Collaborating closely with product managers and cross-functional stakeholders

  • Continuously exploring and evaluating emerging AI technologies

  • Rapid prototyping and efficiently bringing innovations into production

  • Actively contributing to the evolution toward agentic engineering practices

You’ll be joining a small, high-impact team (3 engineers total+1 QA), where ownership, initiative, and innovation are essential. This is one of several small teams that use a Scrum‑based Agile process with two‑week sprints and monthly releases

Key Responsibilities

  • Design, implement, and maintain features across both backend and frontend

  • Actively participate in shaping product functionality by questioning, refining, and improving requirements

  • Collaborate with the product manager to translate business needs into technical solutions

  • Contribute ideas and prototypes, especially around emerging AI capabilities

  • Maintain code quality while focusing on pragmatic delivery of value

  • Communicate effectively within a small, fast‑moving team

Required Skills and Experience

  • Strong product mindset: interest in why features are built, not just how

  • Full‑stack readiness with experience in: .NET/C#/TypeScript/React

  • Ability to move fluidly between backend and frontend without strict specialization

  • Solid understanding of SaaS application development

  • Good theoretical and practical engineering fundamentals

AI and Innovation Expectations

  • Curiosity and hands‑on interest in AI technologies

  • Willingness to experiment, prototype, and help define standards for AI features

  • Proactive approach to applying new technical ideas in a production‑ready way

Soft Skills and Mindset

  • Strong communication skills; ability to articulate ideas clearly

  • Comfortable collaborating closely in a small team environment

  • Product‑oriented thinking rather than task‑only execution

  • Open to feedback and discussion; willing to challenge assumptions constructively

  • Sense of ownership over results and delivered value

Interview Process

  • Single interview round, typically around two hours

  • Interview involves up to three interviewers (engineering leadership and team representatives)

  • Structured in three parts: Behavioral discussion focused on past experience and problem handling; Short theoretical questions on relevant technologies; Live code reading and coding exercises via screen sharing

Location and Work Model

  • Hiring focused in Poland (for example Warsaw and other major cities)

  • Hybrid work model; on‑site presence encouraged but not strictly required

  • Flexibility depending on individual circumstances and team needs

Show me … the benefits!

Full Flexibility: Work where and when you do your best (from within Poland 🇵🇱) Your schedule, your setup.

Family Support: 6 months maternity, 4 months co-parent leave + 1 paid child sick day. Designed to support real life.

Learning: 10% of your working time dedicated to development. Built in, not squeezed in.

Health & Wellbeing: Private medical care with LuxMed (standard package, upgrade if you’d like). Because feeling good should never be optional.

Stay Active: Multisport card (standard) to keep you moving, whether it’s yoga, weights, or five-a-side football.

Vision Support: Need new glasses? We’ll chip in so you can see your work (and the world) clearly.

Headspace Family Plan: Mindfulness and sleep tools for you and your household, free with Headspace.

About Zensai

Zensai is a growing global company creating the Human Success Platform; an AI-powered suite built natively into Microsoft 365 that helps people Learn, Engage, and Perform. We're here to support meaningful, measurable growth for individuals and businesses alike.

Skills Required

  • 3+ years experience with .NET and TypeScript
  • Proficiency in C# and React
  • Full‑stack readiness; ability to work across backend and frontend
  • Solid understanding of SaaS application development
  • Good theoretical and practical engineering fundamentals
  • Curiosity and hands‑on interest in AI technologies; experience prototyping AI features
  • Product‑oriented mindset and ability to translate business needs into technical solutions
  • Strong communication skills and ability to collaborate in a small cross‑functional Agile team
  • Experience working in Scrum/Agile with two‑week sprints
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The Company
0 Employees

What We Do

Zensai provides the Human Success Platform—an AI-powered, Microsoft 365‑native suite (Learn365, Engage365, Perform365) that unites employee learning, engagement and performance. Embedded in Teams, Outlook and SharePoint, it delivers training, continuous check‑ins, recognition and real‑time goals to boost adoption, align personal development with business outcomes, and replace outdated review cycles with ongoing, data-informed people success.

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