Position: Python Full Stack Developer
Location: Rosemead CA***Day 1 Onsite***
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Python Full Stack Developer.
Versatile in constructing AI pipelines using LangChain LlamaIndex and AutoRAG with model optimization through Optuna and GridSearchCV.
Relevant Experience
(in Yrs) 10
Must Have Technical/Functional Skills
Python Full Stack Developer
Versatile in constructing AI pipelines using LangChain LlamaIndex and AutoRAG with model optimization through Optuna and GridSearchCV.
Experience Required 10
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.
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Position: Python Full Stack Developer Location: Rosemead CA***Day 1 Onsite*** Python Full Stack Developer. Versatile in constructing AI pipelines using LangChain LlamaIndex and AutoRAG with model optimization through Optuna and GridSearchCV. Relevant Experience (in Yrs) 10 Must Have Tech...
Position: Python Full Stack Developer
Location: Rosemead CA***Day 1 Onsite***
| |
Python Full Stack Developer.
Versatile in constructing AI pipelines using LangChain LlamaIndex and AutoRAG with model optimization through Optuna and GridSearchCV.
Relevant Experience
(in Yrs) 10
Must Have Technical/Functional Skills
Python Full Stack Developer
Versatile in constructing AI pipelines using LangChain LlamaIndex and AutoRAG with model optimization through Optuna and GridSearchCV.
Experience Required 10
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.
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Job Location:
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
