Artificial Intelligence Engineer

Required Technical Skills

• Strong experience in Python and software development.

• Hands-on experience with LiteLLM, including:

• LiteLLM Proxy / Gateway

• Multi-model integration

• Model routing and fallbacks

• Load balancing

• Authentication and access control

• Rate limiting and usage monitoring

• Strong understanding of LLM APIs and Generative AI concepts.

• Experience with one or more LLM providers:

• OpenAI / Azure OpenAI

• Anthropic

• Google Gemini

• AWS Bedrock

• Open-source LLMs such as Llama, Mistral, etc.

• Experience with RAG architecture and vector databases such as:

• Pinecone

• Weaviate

• Milvus

• Chroma

• FAISS

• Elasticsearch / OpenSearch

• Experience 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.

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