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.