AI Engineer (LLMs / Automation / Developer Tools) to $3200

About Procimo

Procimo builds industrial real-time location systems (RTLS), and machine data integrations across Europe.
 

We are looking for an AI Engineer who specializes in LLM-based automations, developer productivity tools, workflow acceleration, and scripting.

What You Will Do

This role focuses on building practical AI-driven systems that:

• generate documentation
• create test cases automatically
• build automation scripts
• generate boilerplate code
• integrate LLMs into DevOps/engineering workflows
• create API wrappers for customer use
• build internal AI copilots
• automate repetitive engineering or operations tasks
• support a customer project requiring AI-powered workflow automation

No model training. No research.
This is applied AI engineering for real workflows.

 

What You Will Build

1. Engineering Automations

• Code generation microservices
• Test generation (unit, integration)
• Auto-documentation pipelines
• Code summarizers and refactoring assistants

2. AI-Powered Tools for Customers

• Chatbot agents for data handling
• LLM-based API integrations
• Custom workflows to accelerate internal processes
• Small microservices (FastAPI, Node, Python) using LLM inference

3. LLM Integrations

• OpenAI API
• Anthropic
• Google AI
• Vector databases (Pinecone, Qdrant, Weaviate)
• Retrieval-augmented generation (RAG)
• Automating customer-specific workflows

4. Scripting & Automation

• Python scripts
• CLI tools
• Bash automation
• Internal utilities
• API connectors

5. Dev Acceleration

• Tools that help developers move faster
• Automated PR reviewers
• Branch/merge assistants
• CI/CD AI helpers (with DevOps team)

Required Skills

• Strong Python
• Experience with LLM APIs (OpenAI, Anthropic, Groq, etc.)
• Experience building automation scripts
• FastAPI or Flask experience
• Ability to build small AI microservices
• Experience integrating APIs
• Experience with prompt engineering
• Ability to build RAG pipelines (basic)
• JSON / YAML / config manipulation
• Good English (B2+)
• Ability to work independently in a remote team
• 2–5 years as Python dev / automation engineer
• 1+ year experience with LLM-based systems
• Built internal tools or automations

Nice to Have

• Vector DB experience
• LangChain or LlamaIndex
• Experience with DevOps or CI/CD
• Worked on internal developer tools
• Experience building no-UI CLI-based tools
• Experience in enterprise automation

What We Offer

• Fully remote
• Contractor role paid in EUR/USD
• Fast-moving environment, low bureaucracy
• Long-term collaboration
• Real product work + customer-facing project work
• Strong engineering culture

How to Apply

Send your Djinni profile or CV and include:

1. Your tech stack
2. Your experience with React + backend
3. Your monthly salary expectation.