Python Developer

Please note: This is a 3 months contract role Job Summary Develop and support production-ready Python backend services and APIs for AI-enabled enterprise applications. Build Generative AI and retrieval-augmented generation (RAG) workflows, integrate Google Cloud Platform services, and support testing, deployment, and troubleshooting of scalable AI solutions. Key Responsibilities Design, develop, and maintain modular Python backend services and APIs for AI-enabled applications. Build LLM and RAG pipelines, including prompt orchestration, structured output processing, validation, and guardrails. Develop REST APIs, preferably with FastAPI, for document processing, pipeline execution, asynchronous operations, and enterprise integrations. Implement retrieval and processing workflows using Vertex AI, Vertex AI Search, Cloud Storage, BigQuery, Pub/Sub, Secret Manager, and Cloud Run. Process structured and unstructured documents; perform parsing, metadata generation, validation, transformation, and persistence. Support integration testing, debugging, deployment, logging, monitoring, and troubleshooting in development and QA environments. Collaborate with architects, infrastructure teams, product owners, and stakeholders to deliver scalable AI functionality. Maintain API contracts, documentation, configuration, deployment artifacts, and reusable components. Minimum Education OAuth, signed URLs, and secure service-to-service authentication. React or frontend integration exposure. AI evaluation metrics including groundedness, relevance, completeness, coherence, and confidence scoring. Healthcare-domain exposure, especially enterprise workflows or document intelligence. FastAPI experience is preferred over other qualifying Python API frameworks. Work Environment Cloud-hosted engineering work in Agile, cross-functional teams. Development and QA environment support is required. Location, remote/onsite schedule, and travel expectations are not specified.