Backend / AI Developer - Freelancer

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.

• Approximately 2 years of commercial backend development experience with Python
• Hands-on experience with FastAPI or a comparable modern web framework
• Good knowledge of PostgreSQL, including schema design, query writing, and optimization
• Experience building and consuming REST APIs
• Understanding of ETL and data synchronization concepts and maintaining data consistency across systems
• Working knowledge of Docker and Docker Compose
• Practical experience with large language models (LLMs) and prompt writing; interest in agent-based systems
• Comfort working with agentic AI tools (e.g., 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 language proficiency sufficient for daily communication (B2+ / Upper-Intermediate)

Nice to have:

• Experience with agent frameworks such as Agno, LangChain, LlamaIndex, or similar
• Familiarity with MCP (Model Context Protocol)
• Basic Next.js / React skills for front-end work
• Experience with observability and monitoring tools
• Experience integrating with CRM, analytics, or BI systems
• Background in enterprise or consulting projects

• Integrate data from multiple business sources (CRM, analytics, BI) into a single, cohesive data layer
• Build and deploy AI agents executing business tasks such as signal analysis, pricing, content/SEO, data classification, and tagging
• Develop MCP (Model Context Protocol) servers as dedicated, read-only, domain-specific servers for agents and tools
• Perform data engineering including schema design, ETL, synchronization, and ensuring data quality and consistency
• Contribute to agent platform architecture covering routing, 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 including containerization, database management, monitoring, and observability
• Document architectural decisions and maintain strict contracts between system layers