Required Skills & Experience
- 1215 years of overall experience with 57 years in AI/ML and 3+ years in Generative AI / LLM architecture.
- Strong hands-on experience with RAG pipelines, vector search, and semantic retrieval.
- Proven experience integrating LLMs (OpenAI, Claude, Gemini, Mistral, etc.) using frameworks such as LangChain, LlamaIndex, or PromptFlow.
- Deep understanding of MCP servers configuration, context routing, memory management, and protocol-based interoperability.
- Strong programming skills in Python, and familiarity with containerization (Docker, Kubernetes) and cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
- Expertise in MLOps/LLMOps tools (MLflow, KubeFlow, LangSmith, Weights & Biases).
- Solid grounding in data engineering, pipelines, and orchestration tools (Airflow, Prefect).
- Excellent communication, client engagement, and technical presentation skills
- Proven track record of practice building or leadership in emerging technology domains.
