AI Backend Engineer
Strong Python and AI/ML fundamentals with hands on experience in prompt engineering, integrating pretrained/foundation models into enterprise applications, and deploying AI solutions using CI/CD
• Python Full Stack Developer
• Versatile in constructing AI pipelines using LangChain, LlamaIndex, and AutoRAG, with model optimization through Optuna and GridSearchCV.
Roles & 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 / 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.