Kozak Agency

FTE: Full-time (40 h per week)
Timeline: 3-6 months (tbd)
Start: ASAP
English: B2
Recruitment process: a tech check with our client, then an interview with the main client

The company
A well-established B2D (business-to-developer) SaaS platform operating at significant scale. Their product is infrastructure-level - real-time connectivity used by developers worldwide.

The team
~6–7 people: tech lead, PM, delivery manager, 3 web engineers + contractors. Small, tight-knit, opinionated. Standups Monday and Friday.

The role
One senior hire. This is a product-minded engineering role, not ticket execution. They’re shifting away from reactive delivery toward engineers who understand customers and drive outcomes.

Tech stack
React + TypeScript (frontend), Ruby on Rails (backend), some Node/TS services, Postgres.

What they’re looking for

• Developer empathy - you build tools for developers, you get the frustrations firsthand
• Product thinking - question requirements, propose what should be built
• Ownership - concept to shipped with minimal hand-holding
• Proactive communicator
• Comfortable with AI coding assistants (they use them actively)
• Design + UX intuition

Workload: full-time, remote
Start: asap
Duration: long-term
Location: any
English: B2

Technical requirements (general)
- 3+ years of production blockchain experience in BTC. Multi-protocol experience (strongly preferred).
- Java + Spring Boot + SQL
- Familiarity with test-driven development (TDD) and/or behaviour-driven development (BDD) as working practices, writing tests before or alongside implementation.
- Familiarity with Domain-Driven Design principles.
- Comfortable working in a monorepo structure with shared libraries, cross-squad code visibility, and coordinated CI/CD pipelines.
- Proactive communication, raising blockers, design concerns, and cross-squad dependencies.
- Written and verbal communication in English must be at a professional level.

Technical requirements (specific)
- Deep Bitcoin protocol expertise: PSBT format (BIP-174 and subsequent updates), UTXO management and coin selection algorithms, SegWit transaction structures, script types and descriptor formats (Taproot out of scope).
- Multi-signature coordination: BIP-48 (multi-sig derivation paths), BIP-67 (lexicographic key sorting), P2WSH script construction, PSBT combination and finalisation workflows.
- Fee estimation: Mempool analysis, RBF (Replace-By-Fee) and CPFP (Child-Pays-For-Parent) fee bumping strategies, fee rate prediction.
- Transaction construction: Witness data assembly, BIP-143 (SegWit sighash), DER signature encoding, low-S enforcement. Familiarity with sighash types. SIGHASH_ALL is the production default for custody; engineers should understand the full sighash taxonomy for validation and edge-case handling but implementation focuses on SIGHASH_ALL.
- Transaction lifecycle and remediation: Stuck transaction detection via mempool monitoring, RBF and CPFP execution for fee bumping, handling transactions that remain unconfirmed for extended periods, and managing the operational decision of when to replace vs wait.
- UTXO indexing and balance management: Experience with UTXO set tracking, balance computation from unspent outputs, UTXO consolidation strategies during low-fee windows, and address-level balance monitoring for deposit detection.
- Address management: Gap limit handling for HD wallets, change address allocation from internal derivation branch (m/84'/0'/0'/1/*), address reuse prevention, and descriptor-based address discovery for wallet import and recovery scenarios.
- Chain semantics and failure modes: Understanding of Bitcoin's probabilistic finality (confirmation depth vs settlement assurance), dust output limits and their implications for UTXO management, fee spike behaviour during congestion events (e.g. ordinals, inscription surges filling blocks for extended periods), double-spend detection for unconfirmed transactions, and the operational difference between a transaction that is "broadcast" vs "in mempool" vs "confirmed at depth N." Engineers must understand that Bitcoin has no concept of a "failed" transaction that consumes fees; a transaction either confirms or it doesn't, and unconfirmed transactions can be replaced or may eventually confirm unexpectedly.
- Production experience: Operating Bitcoin custody or wallet infrastructure at institutional scale, not testnet-only or personal wallet experience.

Candidate's responsibilities
Bitcoin wallet management, UTXO handling, transaction construction (PSBT, SegWit), multi-signature coordination, fee estimation.

Location: Remote (EU candidates only)

About the Project

We are looking for an experienced Strong Middle / Senior Frontend Developer to join a high-traffic e-commerce project. The role focuses on building scalable, high-performance web applications with a strong emphasis on accessibility, performance, and user experience.
 

Must-have Skills

• 7+ years of commercial experience with React
• Strong expertise in TypeScript
• Hands-on experience with Next.js
• Experience writing and maintaining automated tests
• Good understanding of WCAG (Web Content Accessibility Guidelines)
• Experience optimizing Core Web Vitals
• Proven experience working on high-traffic e-commerce applications
• English level B2+ or higher

English B2+
A university degree in computer sciences.
Poland based candidates only.
Mandatory domain expertise in Finance and Insurance. Must understand financial logic and data integrity.

Requirements:
• 6+ years of experience in software development with a deep focus on Back-end architecture.
• Expertise in PostgreSQL and raw SQL: Experience working without ORMs, managing migration-driven schemas, and implementing immutable double-entry ledgers.
• Deep knowledge of Next.js 16 (App Router) and TypeScript: Proficiency in building scalable architectures using API route handlers and service layers in a Serverless environment (Vercel).
• Strong experience with modern Frontend: React 19 and Tailwind v4 (without heavy state-management libraries).
• Practical experience with Fintech integrations: Stripe payments, Auth.js (v5), and complex authentication (Passkeys, TOTP).

Will be a plus:
• Experience with Java
• Experience with AI/LLM integrations.
• Knowledge of regulatory compliance and security standards in Fintech/Insurtech.
• Experience with PDF generation (react-pdf / pdf-lib) and pluggable email provider layers.
• Experience in early-stage startups, moving from MVP to production-grade systems.
• Understanding of Node 24 features and modern web standards

 

It is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but with smart perception and AI intelligence. We are a team of 4 motivated people with +25 years of experience in industry and robotics. Our mission is to make robots smarter and more flexible, enabling batch-size-1 automation for surface treatment economically. Our technology helps factories in Europe to remain competitive with intelligent robotics.

We are now looking for a Senior Machine Learning Engineer with technical excellence and entrepreneurial drive to join us in developing the next generation of AI-driven robotic systems!

Tasks

• End-to-End ML Systems: Design, implement, and train state-of-the-art AI models for perception and control of robot arms.
• Data Pipelines & ML Ops: Collect real-world data from factory deployments to optimize model training and update models in the field.
• Simulation & Synthetic Data: Work and improve simulation-based tooling (e.g., NVIDIA Newton Physics Engine) for physical AI and scalable synthetic data generation.
• Model Development: Build ML components across perception and policy pathways, including video models, multimodal encoders, world models, and diffusion/transformer architectures.
• Systems Integration: Work with real-world, multimodal datasets (vision, force/torque, tactile) and ensure models operate reliably under real-time constraints on physical hardware.
• Evaluation & Iteration: Test models in realistic environments, analyze failures, and refine for stability, latency, and robustness.

Requirements

• Background: Master's Degree and more than 3 years of professional experience or a (almost) finished PhD in Robotics, Computer Science, or a related field.
• Deep experience: Hands-on work with reinforcement learning (RL) and imitation learning within physics simulations.
• Software Engineering: Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.
• Real-World Mindset: Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.Soft Skills: Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

Benefits

• Impact: The unique opportunity to rethink industrial automation for batch-size-1 with cutting-edge AI to maintain European manufacturing sovereignty.
• Growth: Challenging tasks and impactful projects alongside experts in a high-growth VC-funded startup.
• Ownership: opportunity to actively shape the company's technical direction; potential shares in the company.
  
  Must have skills !!!
• Background: Master's Degree and more than 3 years of professional experience or a (almost) finished PhD in Robotics, Computer Science, or a related field.
• Deep experience: Hands-on work with reinforcement learning (RL) and imitation learning within physics simulations.
• Software Engineering: Strong proficiency in Python and ideally Rust; ability to write clean, modular, and performance-optimized code for distributed workloads using AI agents.
• Real-World Mindset: Proven track record of deploying models on physical robotic manipulators and handling noisy, temporal, or large-scale datasets.Soft Skills: Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

About company/product/project: UK company, established & live
The Active Diagnostics Tools help social housing residents report repair issues quickly and accurately through an intuitive, guided experience.
Residents are taken through a structured series of filtering questions designed to identify the nature of their problem. Once completed, the system generates a diagnosis and sends the relevant information to the ESP integration layer, which handles the formal logging and processing of the repair.
All modules use Vue.js on the frontend and Laravel on the backend.

Team and Workflow: 2 middle+ Laravel Engineers on the Diagnostics team, 4 Digis engineers on Drupal team. Selected candidate will collaborate with Drupal lead,  and Head of Delivery
Methodology: Agile, daily morning meetings, regular schedule

Full tech stack on the project
Backend: PHP, PHPStan, PHPUnit, Laravel
Frontend: JS, Vue.js
Cloud & DevOps: AWS, Kubernetes, Docker

Must have skills:

• PHP 5+ years
• Laravel 5+ years
• Vue 1+ year (last experience !!!)
• proficiency in AI assisted development

English requirement: Upper-Intermediate or higher

Developer Requirements

• 5+ years of commercial Full-Stack development experience
• Strong expertise in React, Next.js, TypeScript, Node.js (or similar modern stack)
• Experience building scalable web applications and APIs
• Strong knowledge of PostgreSQL/MySQL and modern databases
• Experience with cloud platforms, Docker, and CI/CD
• Ability to work independently and integrate into an existing engineering team
• Upper-Intermediate English or higher

Most Important
We’re specifically looking for AI-native engineers.
Developers should use AI as a core part of their daily workflow - for coding, debugging, architecture, research, testing, documentation, and accelerating delivery while maintaining high quality.
This is a must-have, not a nice-to-have.


 

Workload: Full-time
Start: ASAP
Duration: Long-term (3+ years)
Location: open
English: B2+

Key Requirements & Technical Stack
Core Task: Integration with a 30-year-old legacy healthcare system and rewriting legacy screens into modern UI.
Database & Legacy: Deep hands-on experience with Oracle ADF and PL/SQL.
Modern Backend: Java / Spring (thin service layer architecture).
Frontend: React (rewriting screens from scratch).
Role Focus: Technical leadership/execution on legacy decoupling, data integration, and UI modernizing.

(candidates only with white-label CVs explicitly showing experience with Oracle ADF/PL/SQL and React!)

Workload: full-time
Start: asap
Duration: long-term (3 years)
Location: EU !!!
English: B2

We’re currently scoping a new project for one of our enterprise clients—a major global consulting firm (for whom we already manage several active maintenance and development streams across multiple entities).
We are looking to partner up to secure senior Java capacity for this account. Here are the key details of what we need:

Project Overview
• Scope: Maintenance and further development of large-scale, complex enterprise calculator applications written in Java.
• User Base & Functionality: Used by ~300 international corporate clients. Features include generating JPK/tax compliance files, financial reporting, and complex data statements.
• Team Scaling:
Immediate/Baseline Need: 1–2 Dedicated Java Developers for ongoing maintenance.
Future Scale: Up to 5 specialists as planned platform expansions roll out.

Specifically, we are looking for someone who could:
Join a client discovery call in 1–2 weeks as a potential Head of Development / Lead Architect (or a senior technical authority who will shape the team’s delivery). Transition into the project to drive technical execution and help scale the team as development ramps up.

Please mind that its not typical Java dev project but more advanced one!!!

 

Start date: ASAP
Duration: Full-time
Duration of assignment: until the end of 2026 (extension possible)
Location: Hanover, 100% remote
Sector: Finance
Project language: German !!!!

Responsibilities:

• Ongoing development of an app platform based on Kotlin Multiplatform.
• Design and development of modern platform and UI components using Kotlin Multiplatform and Compose Multiplatform.
• Technical consultancy, documentation and support for product teams building on the platform.
• Development of innovative technical concepts in close collaboration with product owners and UX.
• Definition of technical requirements for platform components, build processes and automated tests.
• Contributing to architectural decisions whilst taking the overarching platform strategy into account.
• Assisting with effort estimates and the technical planning of development activities

Skills (Requirements): !!!

• A degree in a STEM subject or an equivalent qualification with relevant professional experience.
• Several years’ experience in software architecture and mobile application development.
• Very good knowledge of Kotlin and, ideally, practical experience with Kotlin Multiplatform and Compose Multiplatform.
• Experience with cross-platform architectures and modern mobile development concepts.
• Proficiency in using Android Studio, IntelliJ, Jira and Confluence.
• Experience with dependency injection, unit testing and test automation.
• Knowledge of agile development methods such as Scrum or Kanban.
• Strong analytical skills and a structured, team-oriented approach to work.
• A passion for sharing knowledge and establishing best practices for software quality within the team

The Consultant will be responsible for designing, developing, and maintaining Power BI reporting and automation solutions to support business decision-making across the organization. This role will drive the company’s Power BI automation strategy, leveraging Microsoft Fabric, Power Platform tools, and Azure services to implement scalable, automated, and intelligent reporting solutions.

Key Responsibilities:
1. Power BI Development & Reporting Automation

• Design, develop, and maintain interactive Power BI reports and dashboards to support various business functions.
• Implement automated reporting workflows based on predefined thresholds, alerts, and KPIs to proactively notify stakeholders of key business changes.
• Develop and optimize data models, DAX calculations, and Power Query transformations to ensure efficient performance and scalability.
• Ensure high standards of data accuracy, consistency, and security within the Power BI environment.

2. Microsoft Fabric Implementation

• setup and management of Microsoft Fabric environments, including Data Factory, Lakehouse, Warehouse, and Pipelines.
• Collaborate with the data engineering team to design and deploy end-to-end data pipelines using Fabric for unified data management.
• Leverage Fabric features to automate data ingestion, transformation, and delivery for enterprise reporting.

3. Power Platform Integration (Power Automate & Power Apps)

• Develop and maintain Power Automate workflows for data refresh scheduling, alert automation, and system integration.
• Build Power Apps solutions to provide interactive business tools that complement Power BI reporting.
• Ensure seamless integration across Power BI, Power Automate, Power Apps, and other Microsoft 365 services.

4. Copilot & AI-Driven Reporting 

• Implement and configure Microsoft Copilot agents to enable AI-powered, natural language-driven analytics and user assistance.
• Integrate Copilot within Power BI and Fabric environments to enhance report creation and automation efficiency.
• Evaluate and deploy emerging AI-driven analytics features to improve reporting intelligence and user experience.

Experience:
Professional Experience: !!!

• Minimum 10+ years of experience in Power BI development, data modeling, and business intelligence reporting.
• Proven experience in Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Pipelines,Data Agent).
• Hands-on experience with Power Automate and Power Apps for workflow and app automation.
• Practical knowledge of Azure data ecosystem (Data Factory, Synapse, Azure SQL).
• Experience in SAP BW integration and data extraction to Power BI or Azure environments is a strong advantage.
• Experience with AI/Copilot-enabled reporting and data automation concepts.

 
Technical Competencies:

• Advanced proficiency in Power BI, including DAX, Power Query (M language), and data modeling.
• Advance proficiency in MS Fabric
• Strong understanding of data warehouse concepts, ETL processes, and data governance.
• Proficiency in SQL, Azure services, and data performance optimization.
• Ability to design end-to-end reporting solutions from data source to visualization.
• Strong analytical and problem-solving skills with attention to detail.

Start: ASAP
Long-term project
Candidate location: EU !!!
Location: Berlin (Hybrid) or fully remote
Department: Technology / Digital Transformation

You'll own the infrastructure, automation, and delivery pipelines that power our internal platforms and integrations — working across cloud (Azure/GCP), containerized workloads, and enterprise systems (SAP, NestJS-based services, and internal tooling). This is a senior, hands-on role with real architectural ownership: you'll shape how we build, secure, and scale our platform, not just maintain what already exists.

What You'll Do
• Own CI/CD and delivery pipelines end-to-end — design, harden, and continuously improve pipelines with built-in security gates (SAST/DAST, dependency and container scanning, IaC compliance checks) rather than bolting security on after the fact.
• Build and evolve infrastructure as code (Terraform, and/or Pulumi) across cloud environments, treating Git as the single source of truth (GitOps) with full auditability and rollback.
• Design and operate Kubernetes-based container platforms — clusters, Helm charts, and where relevant, service mesh (Istio/Linkerd) for multi-service, multi-cluster environments.
• Drive platform engineering initiatives — build internal developer platforms / self-service tooling that reduce cognitive load for application teams (standardized environments, templated deployments, golden paths).
• Own the technical pipeline for the Secure Software Development Lifecycle (SSDLC), including security gates at each stage of build and release.
• Drive vulnerability mitigation — triage findings from scanning tools and coordinate timely remediation across teams.
• Own patch management — track, prioritize, and apply patches across infrastructure and dependencies on a defined cadence.
• Bring AI into operations (AIOps) — apply anomaly detection, intelligent alerting, and automation to reduce noise and enable self-healing pipelines and infrastructure; use AI-assisted engineering tools (e.g., Cursor, Claude Code) daily as a core part of how you build and ship.
• Own observability — instrument systems for metrics, logs, and traces; build dashboards and alerting that reflect real business and system risk, not just infrastructure noise.
• Take responsibility for cost (FinOps) — monitor cloud spend, rightsize resources, and build budget guardrails across environments.
• Support MLOps/AI infrastructure needs as our AI tooling and agentic workflows scale — model/version registries, secure API access patterns (e.g., workload identity federation), and sandboxing for autonomous agents.
• Act as a technical bridge between development, security, operations, and business stakeholders — explain trade-offs clearly, coordinate incidents calmly, and contribute to architecture discussions, not just implementation.

What You Bring
Core technical foundation!!!
• 5+ years in DevOps/SRE/Platform Engineering roles, with at least 2 years operating at a senior/lead level (system design, mentoring, on-call ownership). Strong hands-on DevSecOps experience, including SAST, DAST, SCA, container image scanning, secrets management, vulnerability remediation, security policy enforcement, and Secure Software Development Lifecycle (SSDLC).
• Deep hands-on experience with at least one major cloud provider (Azure or GCP strongly preferred given our stack; AWS a plus), including IAM, networking, and workload identity patterns. Strong understanding of networking fundamentals, including TCP/IP, HTTP/HTTPS, TLS, UDP, DNS, load balancing, ingress, and cloud networking architectures.
• Strong command of containerization and orchestration: Docker, Kubernetes in production, Helm.Strong Linux administration skills, including file permissions, ownership, process management, networking tools, shell scripting, and troubleshooting production systems.
• Proven experience with Infrastructure as Code (Terraform preferred) and GitOps workflows (ArgoCD, Flux, or equivalent).
• Solid scripting/automation skills (Python, Bash, or Go) and comfort reading/writing CI/CD pipeline configs (GitHub Actions, GitLab CI, Jenkins, or Azure DevOps).
• Required: daily hands-on experience with AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or similar) as part of your development and infrastructure workflow — this is a must-have, not a nice-to-have. Experience with modern AI platforms or services such as Amazon Bedrock, Azure AI Foundry, Vertex AI, OpenSRE, HolmesGPT, LangChain, MCP, or similar is highly desirable.
Security & compliance
• Practical DevSecOps experience: vulnerability scanning (Snyk, OWASP Dependency-Check or similar), secrets management, and policy-as-code/compliance tooling.
• Understanding of zero-trust network design and enterprise IAM governance (relevant to regulated, multi-entity organizations).
Emerging / 2026-relevant skills
• Familiarity with AIOps concepts and tools — using AI/ML signals for incident detection, capacity planning, or pipeline self-healing.
• Working knowledge of platform engineering principles and building internal developer platforms (IDPs).
• Exposure to MLOps or AI infrastructure (GPU scheduling, model registries, agent sandboxing/network isolation) is a strong plus given our growing AI governance and agentic tooling initiatives.
• Comfort operating in a FinOps mindset — cost visibility and optimization as a shared responsibility, not a separate team's job.
Soft skills (non-negotiable at senior level)
• Strong written and verbal communication — able to explain technical trade-offs to both engineers and non-technical stakeholders.
• Calm, structured incident coordination under pressure.
• A systems-thinking mindset: understanding failure modes and designing for resilience rather than reacting to outages.
• Collaborative, low-ego approach to working across dev, security, QA, and business teams.

Nice to have
• Experience in real estate, financial services, or another regulated, multi-entity enterprise environment.
• Familiarity with SAP-adjacent integration landscapes or large-scale enterprise system migrations.
• Cloud certifications (Azure DevOps Engineer Expert, Google Professional Cloud DevOps Engineer, or equivalent).

 

Start: ASAP
Duration: 6+ months

Project Overview
We're looking for an expert-level n8n automation developer for a long-term engagement (6+ months) covering three parallel workstreams: infrastructure migration, social media automation expansion, and cold outreach pipeline development.

What You'll Do
1. Infrastructure Migration

• Migrate existing n8n cloud workflows to self-hosted n8n on RepoCloud.io
• Configure autoscaling for production workloads

2. Social Media Automation

• Expand existing social media content posting automations to additional platforms
• Build out additional content strategies within the automation workflows

3. Cold Outreach Pipelines

• Develop cold email outreach pipelines using Apify.com for prospect scraping

• Integrate Apollo.com API for contact enrichment based on social media engagement signals

   

Requirements

• Expert-level, hands-on experience with n8n (not just familiarity — deep workflow-building expertise)
• Experience self-hosting n8n (RepoCloud.io or similar platforms) with autoscale configuration for production
• Experience building social media automation workflows
• Experience building cold email/outreach automation workflows
• Experience with Apify (web scraping) and Apollo (contact enrichment) APIs is a strong plus

Questions (for candidate screening)
1. Do you have experience with social media automation workflows?
2. Have you self-hosted n8n on RepoCloud.io (or similar) with autoscale?
3. Do you have experience building cold email workflows?

In this role, you will lead the design and delivery of cloud-native integration solutions for enterprise manufacturing systems. You'll work closely with Product Owners, Solution Architects, Site IT teams, and distributed engineering teams to build scalable, secure, and high-quality backend services on AWS.
This is a hands-on technical leadership role where you'll contribute to architecture, mentor engineers, perform design and code reviews, and help shape the technical direction of the platform.

What You'll Do

• Design scalable cloud-native backend architectures using Node.js and AWS.
• Lead the implementation of enterprise integration solutions based on microservices and event-driven architecture.
• Drive architectural decisions and ensure alignment with enterprise standards and best practices.
• Review solution designs, code, APIs, and technical documentation.
• Collaborate with Product Owners, architects, Site IT teams, and offshore development teams.
• Translate business and manufacturing integration requirements into reliable technical solutions.
• Guide engineering teams through implementation and technical challenges.
• Support project planning, effort estimation, and technical risk assessment.
• Ensure security, scalability, maintainability, and compliance across integration solutions.
• Act as the technical escalation point for complex architectural challenges.

Must-Have Skills !!!

• 10+ years of professional software engineering experience.
• Strong commercial experience with Node.js backend development.
• Proven experience leading engineering teams or acting as a Technical Lead.
• Deep understanding of backend architecture and software design principles.
• Strong AWS experience, including cloud-native services.
• Experience with:
• Microservices
• Event-driven architecture
• REST APIs
• Amazon SQS
• Serverless architectures
• Kubernetes
• Hands-on experience with Infrastructure as Code (Terraform preferred).
• Experience designing secure, scalable, enterprise-grade applications.
• CI/CD experience (GitHub Actions or similar).
• Strong communication skills and experience working with distributed international teams.
• Fluent English.

Nice to Have

• Manufacturing or Industrial IT experience.
• OT/IT integration knowledge.
• AWS IoT Greengrass.
• Linux administration.
• Experience working in regulated environments (GxP).
• Pharmaceutical or Life Sciences background.

Tech Stack

• Node.js
• AWS
• Terraform
• Kubernetes
• Amazon SQS
• Microservices
• Serverless
• REST APIs
• Event-driven Architecture
• GitHub Actions / CI/CD

We're building an AI-native delivery team that ships working software in days, not quarters.
We're looking for a builder who uses AI coding tools as a default workflow—Claude Code, Cursor, Replit, v0, Lovable, Bolt, or similar—and can quickly turn ideas into working products, validate them with users, and iterate fast.
This is not a Staff Engineer role. Long-term architecture and production hardening are owned by the integration engineering team. Your focus is speed, experimentation, and delivering value quickly.

What You'll Do
Build & Ship

• Build and deploy end-to-end applications using AI-native development tools.
• Work across frontend, backend, databases, and deployment.
• Ship quickly to internal teams, operations, and pilot customers.
• Iterate through rapid build → demo → learn → improve cycles.

AI-Powered Product Development

• Create LLM-powered features such as:
• AI search
• Document processing
• Summarization
• Workflow automation
• Agentic experiences

Prototype & Validate

• Apply the right level of engineering rigor for the stage.
• Move fast on experiments and prototypes.
• Know when to improve, hand off, or discard solutions.
• Document successful prototypes for production teams.

AI-First Workflow

• Use AI for coding, debugging, testing, refactoring, and documentation.
• Continuously evaluate new AI development tools.
• Maintain strong judgment over AI-generated output.

Requirements

• 4+ years of software development experience or equivalent portfolio.
• Portfolio of AI-built products shipped within the last 90 days (required).
• Daily use of AI coding assistants such as Claude Code, Cursor, or similar.
• Experience with modern web development:
• React, Vue, or similar
• Node.js, Python, or similar
• Databases and APIs
• Vercel, Railway, Supabase, or similar platforms
• Ability to distinguish between prototype-quality and production-ready solutions.

Nice to Have

• PropTech, real estate, or operations-focused product experience.
• Experience moving prototypes into production.
• German language skills.