About the company

We are an AI Transformation Agency that helps companies move from manual operations to hybrid teams of humans and AI employees.

We do not sell slide decks. We design and ship real working systems: AI agents, automated workflows and digital employees that sit inside sales, support and operations and directly improve revenue per employee and EBITDA.

Why this role is interesting

• You are not a small cog in a big corp. You are the person who sets the technical direction from day one.
• You will work on real business cases with real money impact, not abstract research.
• You will design and build AI agents end to end: from idea and process mapping to working production systems at client side.
• Everything you create will later become part of our internal AI employees library and future products.
• Direct work with founder CEO, fast decisions, zero bureaucracy.

What you will do

1. Design and build AI agents and workflows

• Turn business processes into agentic workflows.
• Design how AI employee should behave, what data it uses, where it hands off to humans.
• Build and tune LLM based agents for specific roles: SDR, support, ops, analytics and more.

2. Integrate AI with client systems

• Connect agents to CRM, helpdesk, ticket systems, Notion, Google Sheets and other tools via API.
• Use Python or Node.js plus tools like n8n / Make / Zapier to orchestrate flows.
• Build simple internal dashboards and panels so clients can see and control what agents do.

3. Iterate fast on pilots

• Work closely with founder on discovery calls and solution design.
• Ship working MVP in weeks, not months.
• Measure and improve: time saved, error reduction, process speed, revenue impact.

4. Build internal library

• Document reusable blocks: prompts, flows, integration snippets, evaluation tests.
• Help turn one off client solutions into repeatable modules and future products.
• Set basic engineering standards for AI projects in the company.

Requirements

We are looking for a hands on engineer, not theoretical researcher.

Must have

• 3+ years of software engineering or ML engineering experience.
• Strong Python skills (Node.js or TypeScript as a plus).
• Experience with agent frameworks: LangChain, LlamaIndex, CrewAI, AutoGen or similar.
• Solid experience with LLMs in practice:
• OpenAI, Anthropic or similar
• building chatbots, tools, copilots or agents
• prompt engineering and context management.
• Experience with RAG and vector databases:
• one of: Pinecone, Weaviate, Qdrant, Chroma or similar.
• Experience with building integrations:
• REST APIs, webhooks
• working with CRM, helpdesk, or other SaaS products.
• Ability to decompose a business process and design a technical solution, not just implement given tasks.
• English level: confident reading and writing, ability to join calls with international clients will be a plus.

You are a good fit if

• You like to own problems end to end: from messy client description to working system in production.
• You think in terms of workflows and business value, not only in terms of models.
• You are ok with uncertainty, you know how to offer solutions and stack yourself.
• You want to grow into a tech leader or future CTO as the agency scales.