Senior GenAI Backend Developer (Python)
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and own backend services for production-grade GenAI applications integrating Azure OpenAI, OpenAI GPT, and Anthropic Claude models.
Develop and maintain scalable REST APIs and MCP servers using Python (FastAPI, FastMCP), implementing RAG pipelines with vector databases and LLM orchestration frameworks (LangChain, LangGraph).
Handle full application lifecycle including deployment on Azure Kubernetes Service, CI/CD pipelines, monitoring, observability, cost/performance optimization, and secure enterprise integration.
Minimum Requirements
Minimum 5 years professional backend development experience with strong Python expertise.
At least 2 years hands-on experience building and delivering GenAI backend solutions with LLM integration (Azure OpenAI, OpenAI GPT, Anthropic Claude).
Experience with Microsoft Azure services including AKS, Azure Cosmos DB, Azure Cache for Redis, and container orchestration (Docker, Kubernetes).
English proficiency at B2 (Upper-Intermediate) level or higher for direct communication with US stakeholders.
Ideal Candidate Profile
Experienced backend engineer specializing in GenAI platforms for enterprise-grade production environments.
Demonstrates strong operational ownership of full application lifecycle including secure API design, monitoring, cost controls, and incident troubleshooting.
Familiar with Azure cloud ecosystem and integrating generative AI models into scalable, reliable services with advanced tooling for observability and AI-assisted development workflows.