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Artificial Intelligence Engineer

Teamware Solutions — United Arab Emirates · Posted ~21 hours ago

Mid Full-time

Skills

Python Software development LiteLLM LLM APIs Generative AI RAG architecture Vector databases REST API development Docker Cloud platforms CI/CD Git Kubernetes Production deployment OpenAI Azure OpenAI Anthropic Google Gemini AWS Bedrock Llama Mistral Pinecone Weaviate Milvus Chroma FAISS Elasticsearch OpenSearch LangChain LlamaIndex Semantic Kernel FastAPI Flask Azure AWS GCP

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Summary ✨ AI‑Generated

A technology organization is seeking an AI Engineer to build production-grade generative AI infrastructure. The role centers on Python, LLM gateways and APIs, multi-model routing, RAG and vector databases, REST services, containerized deployments, cloud platforms, and modern CI/CD and orchestration practices.

Highlights

Hands-on AI engineering role focused on production-grade LLM infrastructure, multi-model integration, RAG systems, APIs, cloud platforms, containerization, and scalable deployment practices.

Description

Required Technical Skills Strong experience in Python and software development.Hands-on experience with LiteLLM, including:LiteLLM Proxy / GatewayMulti-model integrationModel routing and fallbacksLoad balancingAuthentication and access controlRate limiting and usage monitoringStrong understanding of LLM APIs and Generative AI concepts.Experience with one or more LLM providers:OpenAI / Azure OpenAIAnthropicGoogle GeminiAWS BedrockOpen-source LLMs such as Llama, Mistral, etc.Experience with RAG architecture and vector databases such as:PineconeWeaviateMilvusChromaFAISSElasticsearch / OpenSearchExperience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.Experience developing REST APIs using FastAPI, Flask, or similar frameworks.Good understanding of Docker and containerized deployments.Experience with cloud platforms such as Azure, AWS, or GCP.Familiarity with CI/CD, Git, Kubernetes, and production deployment practices.