Artificial Intelligence Specialist

As a Generative AI Lead at our GenAI CoE team, you will be responsible for the following: - Build, fine-tune, and deploy LLM-powered applications such as chatbots, agents, and RAG pipelines. - Design and implement autonomous agents using frameworks like CrewAI, LangChain, or LangGraph. - Integrate AI into real-world tools to automate workflows in SDLC and data pipelines. - Collaborate with product and data teams to deliver practical, high-impact AI solutions. - Write clean, scalable Python code to manage prompts, chains, memory, and orchestration logic. - Stay current with emerging GenAI technologies, conduct rapid prototyping, and contribute to research-based development. - Build microservices or APIs to serve AI models and integrate with enterprise systems. - Ensure responsible AI usage through data handling best practices, privacy, and ethical design. Qualifications required for this role include: - Proficiency in Python and familiarity with GenAI concepts. - Experience or strong interest in LLMs, chatbots, or agentic AI applications. - Hands-on knowledge of at least one GenAI framework such as CrewAI, LangChain, LangGraph, etc. - Willingness to learn and experiment with new models and frameworks. - Understanding of SDLC and data engineering automation use cases. - Ability to work in a fast-paced, research-oriented environment. Additionally, it would be beneficial if you have the following skills: - Experience deploying applications on AWS, Azure, GCP, or Snowflake. - Familiarity with retrieval-augmented generation (RAG), embeddings, or vector databases. - Understanding of model evaluation, prompt engineering, or system design for GenAI apps. - Exposure to containerization (Docker, Kubernetes) and CI/CD for AI apps. - Background in model safety, ethics, or AI observability is a plus.,