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Full-Stack Engineer

Mercura
Munich, BY, DE, Munich, Bavaria, DE
Full-time
$130K–$165K
Estimated
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Required Skills

Llm
Rag
Python
R
Typescript
Go
Scala
React
Aws
Azure
Gcp
Docker
Kubernetes
Terraform
Leadership
Communication

Job Description

Mercura automates quoting in the construction industry with AI agents. We rank in the top 5% of YC’s W25 batch by revenue, quadrupling our revenue in just 8 weeks. After YC, we closed a 8x oversubscribed round with top-tier investors and angels. Mercura automates quoting in the construction industry with AI agents. Our software frees sales teams from manual back-office tasks and lets them process requests in minutes instead of days. We rank in the top 5% of YC’s W25 batch by revenue, quadrupling our revenue in just 8 weeks. After YC, we closed a 8x oversubscribed round with top-tier investors and angels, and we contrinue to grow massively. As a (Senior) Full-Stack Engineer, you will play a key role in architecting and building complex AI systems end-to-end. This is a hands-on role for engineers with high-agency and strong technical depth. We’re looking for experienced builders with a strong product mindset and a track record of shipping complex AI systems. If you are an experienced builder who thrives at the intersection of full-stack development, AI & ML - this is your opportunity to set the technical direction, mentor others, and shape how users interact with AI. What you will be working on Own the architecture and design of AI systems Collaborate with and other stellar engineers across the full stack and help everyone become better Build data pipelines to process large-scale unstructured data efficiently Deploy and manage software in cloud environments Make our backend scalable, stable and efficient Take technical ownership by making pragmatic and efficient decisions about frameworks, tools, and architecture to balance speed and quality Develop scalable and reusable components and API structures Write clean and maintainable code with sensible testing Own the architecture and design of AI systems Collaborate with and other stellar engineers across the full stack and help everyone become better Build data pipelines to process large-scale unstructured data efficiently Deploy and manage software in cloud environments Make our backend scalable, stable and efficient Take technical ownership by making pragmatic and efficient decisions about frameworks, tools, and architecture to balance speed and quality Develop scalable and reusable components and API structures Write clean and maintainable code with sensible testing What we're looking for We are looking for senior engineers with a strong background in SWE, AI & ML - and the capability to lead the team and grow into a founding engineer role. Technical skillset: Strong experience with full-stack software engineering (React, Typescript, Python), particularity backend engineering Proven track record of architecting and building complex, production-grade software systems **** Cloud & DevOps: Experience with containerization (Docker, Kubernetes), cloud infrastructure (Azure/AWS/GCP), and infrastructure as code (Terraform). Strong experience with full-stack software engineering (React, Typescript, Python), particularity backend engineering Proven track record of architecting and building complex, production-grade software systems **** Cloud & DevOps: Experience with containerization (Docker, Kubernetes), cloud infrastructure (Azure/AWS/GCP), and infrastructure as code (Terraform). Commitment & Mindset: High agency & initiative: You develop new ideas and drive them in execution under minimal guidance Mission-driven: You view Mercura as a long-term commitment and your job is one of your top priorities Product mindset: You demonstrate product thinking on a deep level and solve problems end-to-end You’re excited to iterate quickly and build software in a fast-paced startup environment You want to work in-person in Munich with more intensity than in a 9-5 job High agency & initiative: You develop new ideas and drive them in execution under minimal guidance Mission-driven: You view Mercura as a long-term commitment and your job is one of your top priorities Product mindset: You demonstrate product thinking on a deep level and solve problems end-to-end You’re excited to iterate quickly and build software in a fast-paced startup environment You want to work in-person in Munich with more intensity than in a 9-5 job Leadership & Communication: You have experience in leading engineering teams as a senior/staff/lead engineer You have the potential to grow into the founding engineer role You’re one of the strongest engineers in the team and make everyone else better Everyone can come to you for advice on how to fix their hardest problems Clients respect your presence & technical expertise You have experience in leading engineering teams as a senior/staff/lead engineer You have the potential to grow into the founding engineer role You’re one of the strongest engineers in the team and make everyone else better Everyone can come to you for advice on how to fix their hardest problems Clients respect your presence & technical expertise Software Stack: Typescript, Python, React, Next, Docker, Terraform, Postgres AI Stack: Vector databases, LLMs, Embeddings, observability & evals Step 1: Intro call Casual intro meeting with one of the founders to get to know each other and introduce Mercura Step 2: Technical interview 💡 At Mercura, we value our applicants' time. That's why we compensate you with €50 if we ask you to complete a take-home challenge. The technical interview consists of two parts: A take-home exercise, including a short presentation and a live-coding session. A system design interview. For the take-home exercise, we’d provide you with a task. You’ll have 2–3 hours to complete it, focusing on data and AI engineering (e.g., NLP, embeddings, LLMs). The challenge will be based on a practical problem we’ve encountered in our day-to-day work, so it should give you a realistic sense of what the role involves. Later, you’ll present your results to us. The presentation will include a brief algorithmic live-coding challenge, similar to a competitive programming task. Step 3: Meet the team Meet the other co-founders and team members to get a feel for our culture and working style. Step 4: Reference checks Please provide 2–3 references so we can gather insights into your strengths and working style. Step 5: Offer If we see a great fit, you will get an offer, including a competitive compensation package with equity participation.

Job Details

Employment Type

Full-time

Salary Range

$130K–$165K

Estimated

Location

Munich, BY, DE, Munich, Bavaria, DE