Sr. AI Engineer - Python

Key Responsibilities: Design, develop, and maintain AI-driven applications usingPython , LangChain, andLangGraph. Build complex agentic workflows and stateful conversational systems using graph-based architectures. Integrate LLMs such asOpenAI GPT , Claude , Llama, and other foundation models into enterprise applications. Create, test, and optimize prompts to improve model performance and user experience. Develop workflow automation solutions using agent-based frameworks and orchestration tools. Integrate external APIs, databases, and enterprise systems into AI-powered applications. Collaborate with product, engineering, and data teams to define technical requirements and deliver innovative AI solutions. Evaluate, monitor, and improve AI agents using industry-standard evaluation frameworks and methodologies. Participate in architecture discussions, code reviews, and best-practice initiatives. Deploy and maintain AI applications in cloud environments, preferablyMicrosoft Azure.

Required Qualifications: Strong proficiency inPython, including asynchronous programming, object-oriented programming (OOP), and advanced data structures. Proven experience withLangChainandLangGraphin production environments. Deep understanding ofLarge Language Models (LLMs)andSmall Language Models (SLMs). Hands-on experience with prompt engineering and generative AI optimization techniques. Experience designing and debugging complex graph-based conversational workflows. Strong API development and integration experience. Familiarity with machine learning frameworks such as: PyTorch TensorFlow Hugging Face Transformers Experience building autonomous workflows using agentic AI frameworks. Knowledge of AI agent evaluation methodologies and tools. Excellent analytical, problem-solving, and communication skills.