Key Responsibilities

• Implement Python microservices and APIs (FastAPI/Flask/Django) with clean contracts, versioning, pagination, and rate limiting.
• Build REST/GraphQL endpoints and internal SDKs to enable AI-enhanced features (prompt routing, retrieval, redaction) while maintaining strict separation from model ownership.
• Implement asynchronous and event-driven processing (e.g., Celery/Kafka/queues) for high-throughput pipelines and background jobs.
• Integrate services with enterprise AI platforms and LLM APIs (e.g., Azure OpenAI via enterprise gateway), handling prompt orchestration, tool invocation, moderation hooks, and response validation.
• Enforce runtime guardrails: input sanitization, PII redaction, toxicity/NSFW filters, output signing, and fallbacks.
• Implement semantic retrieval and vector search via approved platforms; do not train or host custom models.

Requirements

• Python Full Stack Developer with 1-2 years of experience.
• Proficiency in constructing AI pipelines using LangChain, LlamaIndex, and AutoRAG.
• Model optimization experience using Optuna and GridSearchCV.
• Hands-on experience with machine learning (ML) concepts.
• Experience building APIs with FastAPI and/or Flask.
• Familiarity with asynchronous/event-driven systems (Celery, Kafka, or similar queues).
• Knowledge of REST and GraphQL API design principles.
• Experience integrating with enterprise LLM APIs such as Azure OpenAI.

Skills Required