Backend / AI Developer - Freelancer

Monterail

Wrocław

On-site

PLN 96,000 - 152,000

Full time

5 days ago

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Job summary

Monterail is seeking a backend developer to join an exciting AI transformation project in Wroclaw. You will design and implement robust Python backends using FastAPI, connect to PostgreSQL, and build APIs that power AI agents and data pipelines.

You’ll work on data integration, MCP servers, and data quality while collaborating with client teams. Strong English (B2+) and hands-on SQL/ETL experience are essential for success in this freelance engagement.

Qualifications

Solid commercial Python backend experience (≈2 years).
Hands‑on with FastAPI or equivalent modern framework.
Good knowledge of PostgreSQL and data design.
Experience building and consuming REST APIs.
Understanding of ETL and data synchronization concepts.
Working knowledge of Docker and Docker Compose.
Practical experience with LLMs and prompt writing.

Responsibilities

Integrate data from multiple sources into a unified data layer.
Build and deploy AI agents for business tasks.
Develop MCP servers to expose data to agents and tools.
Perform data engineering: schema design, ETL, data quality.

Skills

Python

FastAPI

PostgreSQL

REST APIs

ETL

Docker

LLMs

Documentation

English (B2+)

Job description

About the Project

We're building an AI Transformation platform for an enterprise client, focused on back-office process automation and AI-driven decision support. The platform brings together data from multiple business systems and puts AI agents on top of it, so that business teams get actionable insights and automated workflows instead of manual routines.

What You'll Do

Integrate data from multiple business sources (CRM, analytics, BI) into a single, cohesive data layer
Build and deploy AI agents that execute specific business tasks: signal analysis, pricing, content/SEO, data classification and tagging
Develop MCP (Model Context Protocol) servers: dedicated, read-only, domain-specific servers that expose data to agents and tools
Do data engineering work: schema design, ETL and synchronization from external systems, and ensuring data quality and consistency
Contribute to the agent platform architecture: routing layer, cost control, access policies, and telemetry for LLM calls
Design and build backend APIs connecting the data layer with agents and front-end applications
Create user-facing tools for business teams, driven by data and agent-generated insights
Maintain infrastructure: containerization, database management, monitoring, and observability
Document architectural decisions and keep strict contracts between system layers

Tech Stack

Python · FastAPI · Agno (agent framework) · MCP · PostgreSQL · Docker / Docker Compose · Next.js

What we are looking for:

Solid commercial experience (approx. 2 years) in backend development with Python
Hands‑on experience with FastAPI or a comparable modern web framework
Good knowledge of PostgreSQL: schema design, query writing, and optimization
Experience building and consuming REST APIs
Understanding of ETL and data synchronization concepts, and of how to keep data consistent across systems
Working knowledge of Docker and Docker Compose
Practical experience with LLMs and prompt writing; interest in building agent‑based systems
Comfort working with agentic AI tools (e.g., Claude Code) in daily development, and the discipline to critically verify their output
Ability to write clear technical documentation
Good communication skills and confidence working directly with client‑side teams
English level sufficient for daily communication with the client (B2+ / Upper‑Intermediate)