20 hours ago
Remote, Poland +5 moreMid Level
Responsibilities
- Integrate CRM, analytics, and BI data sources into a cohesive data layer.
- Build and deploy AI agents for signal analysis, pricing, content/SEO, data classification, and tagging.
- Develop dedicated read-only MCP servers that expose domain-specific data to agents and tools.
- Design schemas, ETL processes, and synchronization mechanisms while maintaining data quality and consistency.
- Contribute to agent-platform architecture covering routing, cost control, access policies, and LLM-call telemetry.
- Design and build backend APIs connecting the data layer with agents and front-end applications.
- Create user-facing business tools driven by data and agent-generated insights.
- Maintain containerization, databases, monitoring, and observability infrastructure.
- Document architectural decisions and maintain strict contracts between system layers.
Requirements
- Approximately two years of commercial backend development experience with Python.
- Hands-on experience with FastAPI or a comparable modern web framework.
- Good PostgreSQL knowledge, including schema design, query writing, and optimization.
- Experience building and consuming REST APIs.
- Understanding of ETL, data synchronization, and maintaining consistency across systems.
- Working knowledge of Docker and Docker Compose.
- Practical LLM and prompt-writing experience, with an interest in agent-based systems.
- Experience using agentic AI tools such as Claude Code and critically verifying their output.
- Ability to write clear technical documentation.
- Good communication skills and confidence working directly with client-side teams.
- English proficiency at B2+ / Upper-Intermediate level for daily client communication.
- Nice-to-have experience with Agno, LangChain, LlamaIndex, or similar agent frameworks; MCP; Next.js or React; observability and monitoring tools; CRM, analytics, or BI integrations; or enterprise and consulting projects.
Benefits
- Remote workplace.
- Freelance engagement through the Monterail Tech Network.
- Direct collaboration with enterprise client teams.