DOIT Software

We are actively seeking a skilled Make.com/n8n Developer for a full-time or project-based cooperation (you decide).

Mission

Your mission is to design, build, and continuously improve the automation backbone of DOIT Software. You will transform Sales, Recruitment, HR, and Administrative workflows into scalable, reliable, and AI-powered systems.

Your work will directly enable our 2026 objective: Transform DOIT Software into an automation- and AI-powered company that scales efficiently, delivers predictable results, and outperforms traditional agencies in speed, quality, and cost.

We aim to run an agency where automation and AI handle repeatable work, so people focus on judgment, relationships, and quality. You will work closely with the Product Owner, CTO, and Heads of Departments to turn business processes into resilient, measurable, and self-improving automation systems.

Responsibilities

• Design, build, and maintain scalable multi-step automations using Make.com, n8n, or similar tools.
• Translate business processes into technical workflows with clear states, conditions, and error paths.
• Integrate APIs, webhooks, chatbots, LLMs, and third-party tools into end-to-end systems.
• Implement robust monitoring, logging, retry logic, and fallback strategies.
• Continuously optimize workflows to improve performance, reduce costs, and enhance reliability.
• Collaborate with Product Owner and department heads to:
  • Map processes
  • Define success metrics
  • Prioritize automation opportunities

Documentation 

• Well-commented workflows and nodes.
• High-level workflow overview with data flow diagram.
• Data and integrations overview.
• Operational runbook (monitoring, failure handling, recovery).
• Change log and versioned blueprint backups.

What You’ll Actually Build

In this role, you will design and operate real, production-grade automation systems, including:

• Data sourcing and scraping pipelines

Automating data extraction from platforms like LinkedIn and other public or internal sources, turning raw data into structured, outbound-ready datasets.

• Data enrichment and validation systems

Enriching people and company data via third-party tools and APIs, with deduplication, validation, and quality rules.

• AI-powered workflows

Prompt-driven automations for candidate grading, summaries, outreach personalization, and interview analysis.

• Automation-first system architecture

Designing databases, schemas, and states for automation-heavy processes, with modular and reusable workflows instead of one-off scenarios.

• End-to-end operational automations

Sales, recruitment, and internal processes run with minimal manual intervention, including error handling, retries, alerts, and recovery paths.

Competencies

Technical Competence

• 2+ years of experience in workflow automation using Make.com, n8n.
• Strong understanding of:
  • APIs
  • Webhooks
  • JSON format
  • Authentication flows
• Familiarity with Airtable or other database platforms 
• Experience with data enrichment tools such as PhantomBuster, Apify, Apollo.io, Hunter.io, Snov.io, Grinfi, etc.
• Hands-on experience with generative AI tools (e.g., ChatGPT, Claude, Perplexity, Gemini, prompt engineering).
• Proven experience creating scenarios for sales, business development, recruitment, or marketing
• Strong skills in algorithm design and scenario optimization
• Background in software development or Technical education
• JavaScript or Python for automation scripting is a strong plus.

This role is not about “connecting tools.” It is about engineering an operating system for a modern AI-driven company. You will shape how DOIT Software works at a fundamental level.

We are actively seeking a skilled Make.com/n8n Developer for a full-time or project-based cooperation (you decide).

Mission

Your mission is to design, build, and continuously improve the automation backbone of DOIT Software. You will transform Sales, Recruitment, HR, and Administrative workflows into scalable, reliable, and AI-powered systems.

Your work will directly enable our 2026 objective: Transform DOIT Software into an automation- and AI-powered company that scales efficiently, delivers predictable results, and outperforms traditional agencies in speed, quality, and cost.

We aim to run an agency where automation and AI handle repeatable work, so people focus on judgment, relationships, and quality. You will work closely with the Product Owner, CTO, and Heads of Departments to turn business processes into resilient, measurable, and self-improving automation systems.

Responsibilities

• Design, build, and maintain scalable multi-step automations using Make.com, n8n, or similar tools.
• Translate business processes into technical workflows with clear states, conditions, and error paths.
• Integrate APIs, webhooks, chatbots, LLMs, and third-party tools into end-to-end systems.
• Implement robust monitoring, logging, retry logic, and fallback strategies.
• Continuously optimize workflows to improve performance, reduce costs, and enhance reliability.
• Collaborate with Product Owner and department heads to:
  • Map processes
  • Define success metrics
  • Prioritize automation opportunities

Documentation 

• Well-commented workflows and nodes.
• High-level workflow overview with data flow diagram.
• Data and integrations overview.
• Operational runbook (monitoring, failure handling, recovery).
• Change log and versioned blueprint backups.

What You’ll Actually Build

In this role, you will design and operate real, production-grade automation systems, including:

• Data sourcing and scraping pipelines

Automating data extraction from platforms like LinkedIn and other public or internal sources, turning raw data into structured, outbound-ready datasets.

• Data enrichment and validation systems

Enriching people and company data via third-party tools and APIs, with deduplication, validation, and quality rules.

• AI-powered workflows

Prompt-driven automations for candidate grading, summaries, outreach personalization, and interview analysis.

• Automation-first system architecture

Designing databases, schemas, and states for automation-heavy processes, with modular and reusable workflows instead of one-off scenarios.

• End-to-end operational automations

Sales, recruitment, and internal processes run with minimal manual intervention, including error handling, retries, alerts, and recovery paths.

Competencies

Technical Competence

• 2+ years of experience in workflow automation using Make.com, n8n.
• Strong understanding of:
  • APIs
  • Webhooks
  • JSON format
  • Authentication flows
• Familiarity with Airtable or other database platforms 
• Experience with data enrichment tools such as PhantomBuster, Apify, Apollo.io, Hunter.io, Snov.io, Grinfi, etc.
• Hands-on experience with generative AI tools (e.g., ChatGPT, Claude, Perplexity, Gemini, prompt engineering).
• Proven experience creating scenarios for sales, business development, recruitment, or marketing
• Strong skills in algorithm design and scenario optimization
• Background in software development or Technical education
• JavaScript or Python for automation scripting is a strong plus.

This role is not about “connecting tools.” It is about engineering an operating system for a modern AI-driven company. You will shape how DOIT Software works at a fundamental level.

We are seeking a skilled IT Recruiter to manage full-cycle recruitment and assist our international clients in finding great talent. If you’re proactive, enjoy working in a fast-paced environment, and want to help drive recruitment success worldwide, this role is for you.

Responsibilities:

• Lead end-to-end recruitment, from sourcing top talent to final hiring.
• Engage candidates proactively across multiple platforms (LinkedIn, Djinni, DOU, etc.).
• Build and maintain a high-quality candidate pool.
• Prepare clear candidate profiles for clients (CVs and video introductions).
• Manage the technical assessment process (scheduling interviews, assigning test tasks, and providing feedback).
• Draft and present job offers, guiding candidates through negotiations.
• Maintain an accurate and up-to-date candidate database (CleverStaff).
• Collaborate with IT partner companies to source candidates and ensure the partner database is consistently updated and of high quality.
• Coordinate the signing of contracts with candidates and partners.
• Collaborate closely with Sales and Technical teams to streamline recruitment processes.

• Continuously improve recruitment strategies and processes to enhance efficiency and candidate experience.

   

Requirements:

• Strong Upper-intermediate English (both written and verbal, minimum B2 level).
• 1+ year of experience in full-cycle IT recruitment, ideally in outstaffing or staffing agencies.
• Proven experience sourcing candidates across multiple regions, including Europe, the USA, and LATAM.
• Familiarity with recruitment automation tools (Grinfi, PhantomBuster, etc.) would be a plus.
• Proactive and self-driven approach to recruitment.
• Ability to adapt quickly, stay flexible, and navigate shifting priorities in a dynamic environment.
• Eagerness to continuously learn, grow, and improve recruitment processes.

• Сlient-facing experience and strong relationship management skills are a plus.

   

What we offer:

• Fixed salary within our range + bonuses.
• Fully remote opportunity.
• Flexible schedule.
• Benefits (compensation for professional development, sports and physical health, mental health support, English classes).
• Constant improvement and learning opportunities (fast-paced environment, international clients only, Ukrainian and international candidates 50/50, and we work a lot with automation).

We’re looking for an Applied AI Engineer who combines strong ML fundamentals with the discipline of improving production AI systems through metrics, evaluation, and iteration.

This role is hands-on, product-focused, and collaborative with the AI platform lead.

The role in a nutshell

You’ll work on improving production AI systems through evaluation, experimentation, and system design.

A large part of the role involves:

• diagnosing failures in agent workflows
• designing evaluation metrics and KPIs
• improving system prompts and agent behavior
• running structured experiments and measuring impact

You won’t be working in isolation on research projects — you’ll be improving systems that real users depend on.

Rough responsibility breakdown:

• AI evaluation and KPI design — ~30%
• Prompt and agent system design — ~30%
• ML systems (recommendation, optimization, etc.) — ~30%
• Engineering integration — ~10%

What you’ll work on:AI evaluation and system quality

• Design evaluation strategies for LLM and agent workflows
• Create metrics and KPIs for AI system performance
• Build and maintain evaluation datasets
• Debug production AI failures systematically
• Compare system behavior against baselines

This is a core responsibility of the role.

Multi-agent AI systems

• Improve agent orchestration and workflows
• Diagnose failures across agent pipelines
• Refine system prompts and agent interactions
• Improve reliability, latency, and response quality

ML and AI systems

You’ll contribute to areas such as:

• Recommendation systems (ranking and personalization)
• Itinerary optimization and constraint-based planning
• LLM-based reasoning systems
• Optional: computer vision pipelines

Depth in one of these areas is more important than superficial experience in all of them.

Engineering collaboration

We use:

• Golang (primary production language)
• Python when necessary for ML workflows
• Postgres, Redis, and internal services

You don’t need to be a Go expert on day one, but you should be comfortable reading and modifying production code.

Backend engineers handle infrastructure-heavy service development — your focus is AI system behavior and correctness.

What we’re looking forMust-haves

Strong AI/ML fundamentals You understand the theory behind what you build and can choose appropriate methods for a problem.

Examples:

• evaluation metrics (precision/recall/F1/etc.)
• ranking and recommendation concepts
• embeddings and similarity
• experimentation methodology

Not required:

• academic publications
• advanced theoretical math
• large-scale model training experience

Evaluation-driven mindset You:

• think in metrics and baselines
• design experiments instead of guessing
• measure system improvements quantitatively
• debug failures methodically

This is the most important signal for the role.

Experience with LLM systems You’ve worked with:

• prompt design
• agent workflows
• evaluation of LLM outputs
• production LLM integrations

Ability to ship production systems You can:

• turn ideas into working systems
• iterate based on results
• balance exploration with delivery

Programming ability You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

Strong signals (nice to have)

• Experience improving an AI system after deployment
• Recommendation systems or ranking experience
• Optimization or constraint-based systems
• Computer vision experience
• Experience building evaluation frameworks
• Golang experience
• Startup or small-team engineering experience

This role may not be a fit if

• You are looking for a research focused role without production deployment
• You rely heavily on frameworks without understanding fundamentals
• You’re uncomfortable working with partially-defined problems
• You prefer narrow specialization over product ownership

We are looking for an AI-First Full-Stack Engineer: Golang Backend, Svelte Frontend. We don't need coders, we need engineers who build features end-to-end using Claude Code. 

Key highlights: 

• AI coding experience (mandatory!): experience with Claude Code - #1 priority, or other agentic coding tools. Claude Code is what is used on the project.
• Senior Full-Stack Engineer (SvelteKit Frontend, Golang Backend), 5+ years of experience. We consider really strong candidates with 4 years of experience.
• Strong proficiency in English (Strong Upper-intermediate level or Advanced).
• Full-time.
• Fully remote.
• Start: ASAP!
• Long-term project.

What you'll actually do:

• Own features end-to-end: from specs to deployment to fixing bugs
• Use Claude Code to generate SvelteKit frontend and Golang backend code
• Review AI output for quality and architectural fit
• Fix bugs to learn our codebase, then rapidly build new features
• Make quick decisions on what to build vs buy vs generate with AI
• Talk to customers when they report issues and ship fixes the same day

Our stack:

• Frontend: SvelteKit, turbo monorepo, Vercel
• Backend: Golang monorepo
• AI: Claude Code (mandatory), other agentic coding tools

Products you will build:

• API: platform features, tooling, multi-agent system, etc.
• UIs: internal UIs, B2B dashboards, B2C web apps

You must have:

• Ownership mentality with a strive for elegantly simple, high-quality solutions
• Strive for max quality - you test your own work thoroughly since we have no QA team, everything you ship MUST work
• Product mindset - you care about WHY we're building something
• Proven experience using Claude Code or similar agentic AI (Cursor, Windsurf) 
• Strong SvelteKit and Golang experience - you'll review AI's code in these, and you must understand how it works
• Broad architectural knowledge of building modern full-stack applications
• Excellent spoken English and a good internet connection for daily video calls

You are a great fit if you:

• Get frustrated when development takes weeks instead of days
• You think in features and architecture, and not single lines of code
• Can spot subtle bugs in AI-generated code quickly
• You ship fast, but always verify it actually works
• Have shipped real products that customers actually use
• Think "how can AI build this?" as your first instinct

Red flags (don't apply if):

• You've never used Claude Code or similar AI coding tools
• You're a perfectionist who loves to code
• You need detailed specs before starting
• You see AI as a threat rather than leverage

We are looking for an AI-First Golang Developer. We don’t need coders, we need Golang backend engineers who build features end-to-end using Claude Code.

Details:

• AI coding experience (mandatory!): experience with Claude Code — #1 priority, or other agentic coding tools. Claude Code is what is used on the project
• Senior Golang Developer, 5+ years of experience, can potentially consider really strong candidates with 4 years of experience
• Strong proficiency in English (Upper-intermediate level or Advanced)
• Full-time
• Fully remote
• Start: ASAP, ideally, or can be discussed. 1 month’s notice will not work.

What you’ll actually do:

• Own features end-to-end: from specs to deployment to fixing bugs
• Use Claude Code to generate Golang backend code
• Review AI output for quality and architectural fit
• Fix bugs to learn our codebase, then rapidly build new features
• Make quick decisions on what to build vs buy vs generate with AI
• Talk to customers when they report issues and ship fixes same day

Our stack:

• Backend: Golang monorepo
• AI: Claude Code (mandatory), other agentic coding tools

Products you will build:

• API: platform features, tooling, multi-agent system, etc.

You must have:

• Ownership mentality with a strive for elegantly simple, high-quality solutions
• Strive for max quality — you test your own work thoroughly since we have no QA team, everything you ship MUST work
• Product mindset — you care about WHY we’re building something
• Proven experience using Claude Code or similar agentic AI (Cursor, Windsurf)
• Strong Golang experience — you’ll review AI’s code in these, and you must understand how it works
• Broad architectural knowledge of building backend
• Excellent spoken English and a good internet connection for daily video calls

You are a great fit if you:

• Get frustrated when development takes weeks instead of days
• You think in features and architecture, and not single lines of code
• Can spot subtle bugs in AI-generated code quickly
• You ship fast but always verify it actually works
• Have shipped real products that customers actually use
• Think “how can AI build this?” as your first instinct

Red flags (don’t apply if):

• You’ve never used Claude Code or similar AI coding tools
• You’re a perfectionist who loves to code
• You need detailed specs before starting
• You see AI as a threat rather than leverage
• You’re outside the European timezone

We are looking for an Implementation Consultant (CRM, Automation, Data, AI). If you’re obsessed with technology and love grinding on complex systems, this is where you’ll showcase your technical skills while solving hands-on operational challenges for law firm owners.

You’ll deploy CRM configurations, project management systems, automation workflows, analytics dashboards, and AI implementations while identifying business bottlenecks and designing solutions that streamline entire practices.

We are assembling a team of “Avengers”: technical problem-solvers who walk into struggling firms, identify the exact operational issues killing their growth, then build and deploy technical solutions that unlock millions in revenue potential for our clients.

Day in the life

The role has a dual nature:

• 75% hands-on system design, building & implementation
• 25% operational analysis, consulting & client interaction

The technical side of the job will have you solve challenges across 5 main areas:

• CRM systems: A firm’s slow intake team is losing viable cases. You will build the automated email, SMS & AI workflows that ensure instant lead response and qualification.
• Case Management / Project Management systems: Staff have abandoned their system, leaving hundreds of overdue tasks. You will standardize, automate, and clear this backlog, making the system a reliable single source of truth.
• Data & Analytics: A firm owner is “gambling” on marketing, lacking clear financial data. You will build the data pipeline and profitability dashboard that provides real-time clarity.
• Automation: Staff waste hours manually copying data into 200+ confusing document templates. You will consolidate these into smart templates and build an automation that generates complex documents perfectly in seconds.
• AI: A firm is overwhelmed by repetitive tasks and suffers from low tech adoption. You will lead AI training sessions that embed practical, safe, and efficient AI use into their daily work.

We are tool-agnostic and believe in using the best solution for the problem. You will gain deep expertise in a variety of best-in-class platforms (both generic and legal-specific).

The client side includes challenges like:

• Uncovering law firm operational challenges and connecting these to technical solutions
• Autonomously gathering requirements, presenting to & training client teams, and managing adoption of deployed solutions
• Building working relationships with clients and ensuring their high satisfaction & NPS

You will be handling anywhere from 1 to 4 client engagements at a time (depending on their size & complexity), owning the full implementation while being supported by a senior consultant and an extensive knowledge base of past client projects & solutions. Our end-to-end client engagements usually have a duration of at least 6 months, so you will get a chance to truly dig in and get familiar with the clients’ teams & processes to drive meaningful impact.

What we need:

• Client-ready communication skills — You’ll present to law firm staff and senior executives. You will need to translate complex technical concepts to a non-tech-savvy audience
• Systems thinking approach — You naturally see how technical solutions connect to business outcomes, and can solve hard problems autonomously
• Builder mentality — You genuinely enjoy the process of designing, testing, and perfecting systems with close attention to detail
• Technical experience — Proven track record of deploying & configuring CRMs, Project Management systems, Analytics Dashboards, Automation tools (Low-Code/No-Code), and/or AI applications
• Ownership mentality — You like to get your hands dirty and pull through challenges autonomously, you take pride in your work, and don’t need micromanagement
• Curiosity — You are excited to learn new tools & skills and can do so quickly, you are eager to adapt your approach if someone shows you a better way of solving a problem, and you are coachable
• Professional English fluency — You’ll advise successful US-based law firms, B2 level at a minimum

Ideal background

• 2-5 years of experience in similar roles
• Experience in client-facing roles and/or consulting, especially for SMEs
• Experience with CRMs (e.g. HubSpot, Salesforce, Zoho, Pipedrive)
• Experience with Project Management/ERP Systems (e.g. Asana, Monday.com, Airtable, ClickUp, SAP)
• Experience with automation/iPaaS tools (e.g. Zapier, Make, n8n, MS Power Platform)
• Experience with GenAI (e.g. Gemini, OpenAI, Anthropic, DeepSeek)
• Experience with data analysis (e.g. BigQuery, Looker Studio, PowerBI, Tableau)
• Experience working with REST APIs (integration)
• Track record of learning complex tools quickly and applying them to business problems

Note: we DON’T expect candidates to have ALL the above skills and tool knowledge.

Portfolio preferred — showcase projects that demonstrate your systematic problem-solving approach.

This role will NOT be a fit if:

• You are looking for a “chill” 40-hour job environment. This job is INTENSE, and you will be pushed to your limits on a daily basis
• You want to be assessed on your inputs. This role will require you to own your OUTPUTS and your clients’ results
• You prefer to work in a managerial capacity, this role requires HANDS-ON building & deployment of systems and interacting with clients, you will own your projects end-to-end
• You prefer pure technical implementation without business interaction, this role requires operational analysis skills and direct client COLLABORATION as well as technical execution
• You’re looking for hands-on coding opportunities, our team works exclusively with low-code and NO-CODE platforms rather than traditional development
• You are looking for a predictable corporate environment with a structured workday and a linear career path. This role is highly DYNAMIC, priorities can change quickly, and we have zero tolerance for office politics

This role is for those who want to own their impact, accelerate their growth, and build systems that matter.

Location & schedule:

Fully Remote, with quarterly in-person meetups in locations all over the globe chosen by popular vote of team members (potential lineup for next year: USA, Tokyo, Dubai, Bangkok).

Flexible Schedule, but availability needed for client meetings Mon — Fri, morning US hours (afternoon-evening Eastern European Time).

We are actively seeking a skilled Make.com/n8n Developer for a full-time or project-based cooperation (you decide).

Mission

Your mission is to design, build, and continuously improve the automation backbone of DOIT Software. You will transform Sales, Recruitment, HR, and Administrative workflows into scalable, reliable, and AI-powered systems.

Your work will directly enable our 2026 objective: Transform DOIT Software into an automation- and AI-powered company that scales efficiently, delivers predictable results, and outperforms traditional agencies in speed, quality, and cost.

We aim to run an agency where automation and AI handle repeatable work, so people focus on judgment, relationships, and quality. You will work closely with the Product Owner, CTO, and Heads of Departments to turn business processes into resilient, measurable, and self-improving automation systems.

Responsibilities

• Design, build, and maintain scalable multi-step automations using Make.com, n8n, or similar tools.
• Translate business processes into technical workflows with clear states, conditions, and error paths.
• Integrate APIs, webhooks, chatbots, LLMs, and third-party tools into end-to-end systems.
• Implement robust monitoring, logging, retry logic, and fallback strategies.
• Continuously optimize workflows to improve performance, reduce costs, and enhance reliability.
• Collaborate with Product Owner and department heads to:
  • Map processes
  • Define success metrics
  • Prioritize automation opportunities

Documentation 

• Well-commented workflows and nodes.
• High-level workflow overview with data flow diagram.
• Data and integrations overview.
• Operational runbook (monitoring, failure handling, recovery).
• Change log and versioned blueprint backups.

What You’ll Actually Build

In this role, you will design and operate real, production-grade automation systems, including:

• Data sourcing and scraping pipelines

Automating data extraction from platforms like LinkedIn and other public or internal sources, turning raw data into structured, outbound-ready datasets.

• Data enrichment and validation systems

Enriching people and company data via third-party tools and APIs, with deduplication, validation, and quality rules.

• AI-powered workflows

Prompt-driven automations for candidate grading, summaries, outreach personalization, and interview analysis.

• Automation-first system architecture

Designing databases, schemas, and states for automation-heavy processes, with modular and reusable workflows instead of one-off scenarios.

• End-to-end operational automations

Sales, recruitment, and internal processes run with minimal manual intervention, including error handling, retries, alerts, and recovery paths.

Competencies

Technical Competence

• 2+ years of experience in workflow automation using Make.com, n8n.
• Strong understanding of:
  • APIs
  • Webhooks
  • JSON format
  • Authentication flows
• Familiarity with Airtable or other database platforms 
• Experience with data enrichment tools such as PhantomBuster, Apify, Apollo.io, Hunter.io, Snov.io, Grinfi, etc.
• Hands-on experience with generative AI tools (e.g., ChatGPT, Claude, Perplexity, Gemini, prompt engineering).
• Proven experience creating scenarios for sales, business development, recruitment, or marketing
• Strong skills in algorithm design and scenario optimization
• Background in software development or Technical education
• JavaScript or Python for automation scripting is a strong plus.

This role is not about “connecting tools.” It is about engineering an operating system for a modern AI-driven company. You will shape how DOIT Software works at a fundamental level.

We are looking for an AI-First Golang Developer. We don’t need coders, we need Golang backend engineers who build features end-to-end using Claude Code.

Details:

• AI coding experience (mandatory!): experience with Claude Code — #1 priority, or other agentic coding tools. Claude Code is what is used on the project
• Senior Golang Developer, 5+ years of experience, can potentially consider really strong candidates with 4 years of experience
• Strong proficiency in English (Upper-intermediate level or Advanced)
• Full-time
• Fully remote
• Start: ASAP, ideally, or can be discussed. 1 month’s notice will not work.

What you’ll actually do:

• Own features end-to-end: from specs to deployment to fixing bugs
• Use Claude Code to generate Golang backend code
• Review AI output for quality and architectural fit
• Fix bugs to learn our codebase, then rapidly build new features
• Make quick decisions on what to build vs buy vs generate with AI
• Talk to customers when they report issues and ship fixes same day

Our stack:

• Backend: Golang monorepo
• AI: Claude Code (mandatory), other agentic coding tools

Products you will build:

• API: platform features, tooling, multi-agent system, etc.

You must have:

• Ownership mentality with a strive for elegantly simple, high-quality solutions
• Strive for max quality — you test your own work thoroughly since we have no QA team, everything you ship MUST work
• Product mindset — you care about WHY we’re building something
• Proven experience using Claude Code or similar agentic AI (Cursor, Windsurf)
• Strong Golang experience — you’ll review AI’s code in these, and you must understand how it works
• Broad architectural knowledge of building backend
• Excellent spoken English and a good internet connection for daily video calls

You are a great fit if you:

• Get frustrated when development takes weeks instead of days
• You think in features and architecture, and not single lines of code
• Can spot subtle bugs in AI-generated code quickly
• You ship fast but always verify it actually works
• Have shipped real products that customers actually use
• Think “how can AI build this?” as your first instinct

Red flags (don’t apply if):

• You’ve never used Claude Code or similar AI coding tools
• You’re a perfectionist who loves to code
• You need detailed specs before starting
• You see AI as a threat rather than leverage
• You’re outside the European timezone