Gen AI/ML Engineer

Qualifications Bachelor's degree in a technical field 5+ years in software development and deploying software products, proficiency in programming languages, particularly Python, and experience with machine learning development, deployment, frameworks (like TensorFlow or PyTorch), and APIs. Excellent hands on experience in Python, LLM, RAG, Vector Databases, LangChain, LangGraph, Google ADK, Agentic AI Hands on experience delivering 3-4 end to end Production projects Good communication skills an

Must have : Python, landgraph/ langchain, Google ADK Responsibilities Responsibilities include designing and optimizing ML systems for AI agents, translating user needs into technical solutions, developing, and deploying AI algorithms and agentic workflows, and collaborating with cross-functional teams. The role also involves architecting data pipelines, staying updated on state-of-the-art Generative AI and agentic AI frameworks (like Google ADK or LangChain), evaluating technical trade-offs, a

Qualifications: Develop and maintain AI Solutions for IVR and conversational platforms Implement LLM-based workflows including prompt engineering, evaluation, and RAG Build Knowledge retrieval pipelines to support IVR use cases (FAQ s troubleshooting, account queries) Evaluate model performance for accuracy, latency, and conversational quality Assist in continuous improvement of AI-driven voice experiences Required Skills 3+ years of experience in AI / ML Development Strong proficiency in Python

Our client, a leader in telecommunication technologies, is looking for a senior AI Engineer to lead IVR and Conversational AI initiatives and design scalable LLM and NLP solutions for high-volume customer interactions. This role requires onsite presence 3 days per week in Charlotte, NC. Qualified candidates must be able work without need for sponsorship. Key Responsibilities Architect and develop AI-driven IVR and conversational systems using Python Build NLP models for text classification and