AI Engineer

•         Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.

•         LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.

•         Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. Familiarity with SLM.

•         Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.

•         Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.

•         API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.

•         Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.

•         Ability to develop workflow automation via an agentic framework, Familiarity with Agentic framework/application Evaluation techniques/tools.

•         Azure experience preferred

•         Basic DE knowledge using Pyspark, Databricks will be plus