Artificial Intelligence Developer

Python, Gen AI, Langchain, Langgraph,  Google ADK, Pgvector

Job Description

• Experience & Strategic Leadership: 12+ years of progressive experience in Python/GenAI development, demonstrating a proven ability to lead, mentor, and manage priorities in a fast-paced environment. Possesses a strong understanding of the entire software development lifecycle, best practices, and agile methodologies.
• GenAI Solution Architecture: Leads the design and architecture of scalable, resilient, and performant enterprise-grade GenAI applications using Python, FastAPI, and related technologies on platforms like OpenShift.
• Deep AI/ML & GenAI Proficiency: Proven hands-on experience in designing and developing GenAI applications using frameworks like LangChain, LangGraph, or Google's Agent Development Kit (ADK). Extensive knowledge and practical experience in building and optimizing RAG systems, chatbots, and multi-agent architectures, coupled with familiarity with vector databases (e.g., pgvector, Pinecone).
• Advanced Python Expertise: In-depth knowledge of Python internals and advanced language features, including profound understanding and practical application of asynchronous programming (e.g., asyncio).
• Data & Web Frameworks: Hands-on experience with FastAPI for building high-performance APIs, excellent knowledge of relational databases (PostgreSQL, Oracle), SQL, and ORM technologies (e.g., SQLAlchemy).
• DevOps & Cloud Native: Experience with containerization technologies (Docker, Kubernetes) and deploying applications on OpenShift or similar Kubernetes-based platforms, alongside experience in setting up and managing CI/CD pipelines.
• Value-Added Skills: Strong understanding of overall Software Design Principle. Knowledge of Java is highly valued