Apache Kafka, Application Programming Interface (API), Artificial Intelligence (AI), Continuous Deployment/Delivery, Continuous Integration, Django, Enterprise Applications, Flask, GraphQL, High Throughput, Microservices, Microsoft Windows Azure, Pagination, Python Programming/Scripting Language, REST (Representational State Transfer), Software Engineering, Traffic Shaping
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.e
eTeam Inc.
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