We are looking for a hands-on AI & Automation Engineer who will support building and deploying AI agents, workflows and MVPs in real client environments.

This role combines low-code / automation tools with light backend work, enabling fast prototyping and early-stage production setups under the guidance of senior engineers and product owners.

You will work closely with venture builders, backend architects and clients to turn business processes into working AI-powered solutions.

Responsibilities

Building AI-powered MVPs and product prototypes using AI coding tools (e.g. Cursor, Replit, Lovable)
Implementing AI agents and automation workflows in client environments (Zapier, Make, n8n, native tools)
Supporting backend-related tasks needed for AI agents:
API integrations
basic data pipelines
simple backend services or scripts
Mapping and documenting business processes using BPM / n-4 methodology, with senior support
Preparing automation scenarios combining workflows, AI agents and backend components
Writing user stories and technical task descriptions based on functional and non-functional requirements
Creating simple frontend layers for MVPs (Carrd, Framer, WordPress, Wix)
Preparing and supporting technical and discovery workshops for clients
Collecting and structuring client needs, constraints and technical requirements
Coordinating small execution tasks between:
no-code / low-code tools
AI agent development
venture building teams

Qualifications

Practical experience with automation tools (Zapier, Make, n8n)
Basic backend understanding:
APIs (REST)
simple scripts (Python / JS)
data handling (JSON, CSV, basic DB concepts)
Familiarity with AI coding tools (Cursor, Replit, Copilot, Lovable or similar)
Ability to deploy and test solutions inside client environments
Experience building simple websites or dashboards
Comfortable working in fast-moving, early-stage product environments
“Warrior mindset” – ownership, autonomy, ability to execute in a dynamic setup

Nice to Have

Experience with cloud environments (Azure / AWS / GCP – basic level)
Light DevOps exposure (env vars, secrets, simple deployments)
Previous work with AI agents, LLM-based workflows or RAG setups
Understanding of venture building / startup execution

What We Offer

Real work on AI agents and automation systems used by enterprise clients
Learning directly from senior architects and product leaders
Exposure to legaltech, mobilitytech and AI venture building
Fast growth path toward AI Engineer / Solution Architect roles
Possibility of long-term collaboration within the Bednarz Ventures ecosystem