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Über
This role is for an AI Backend Engineer, also described as a Python Full Stack Developer, with strong Python and AI/ML fundamentals. The position focuses on hands-on experience in prompt engineering, integrating pretrained/foundation models into enterprise applications, and deploying AI solutions using CI/CD. The engineer will be versatile in constructing AI pipelines using tools like LangChain, LlamaIndex, and AutoRAG, with an emphasis on model optimization through Optuna and GridSearchCV.
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 / 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. Required Skills:
Strong Python and AI/ML fundamentals. Hands-on experience in prompt engineering. Experience integrating pretrained/foundation models into enterprise applications. Proficiency in deploying AI solutions using CI/CD. Versatility in constructing AI pipelines using LangChain, LlamaIndex, and AutoRAG. Experience with model optimization through Optuna and GridSearchCV. Familiarity with Python microservices and APIs (FastAPI/Flask/Django). Knowledge of REST/GraphQL endpoints and internal SDKs. Experience with asynchronous and event-driven processing (e.g., Celery/Kafka/queues). Ability to integrate with enterprise AI platforms / LLM APIs (e.g., Azure OpenAI). Understanding of prompt orchestration, tool invocation, moderation hooks, and response validation. Capability to implement runtime guardrails including input sanitization, PII redaction, toxicity/NSFW filters, output signing, and fallbacks. Experience with semantic retrieval and vector search. Qualifications:
No specific years of experience mentioned.
Preferred Skills:
Sprachkenntnisse
- English
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