AI / ML Engineer

Job Description: AI Engineer - Conversational AI / IVRResponsibilities:Design, develop, and maintain AI solutions for IVR and conversational AI platforms. Implement LLM-based workflows, including prompt engineering, evaluation, and retrieval-augmented generation (RAG).Build and maintain knowledge retrieval pipelines to support IVR use cases such as FAQs, troubleshooting, and account-related queries. Evaluate and optimize model performance with a focus on accuracy, latency, and conversational quality. Contribute to the continuous improvement of AI-driven voice and conversational experiences. Required Skills & Experience:3+ years of experience in AI/ML development. Strong proficiency in Python. Hands-on experience with Large Language Models (LLMs), including:Prompt engineering Model evaluation Retrieval-Augmented Generation (RAG)Experience working on enterprise-scale or customer-facing systems is a plus. Nice to Have:Experience with NLP for conversational AI applications. Familiarity with speech and voice data workflows, including ASR, NLU, and TTS concepts. Tools & Technologies:Python / ML: Num Py, Pandas, Scikit-learnLLM Frameworks: Lang Chain, Llama Index, Hugging Face Transformers Vector Databases: FAISS, Chroma, Pinecone, QdrantNLP (Nice to Have): spa Cy, NLTK, Sentence-TransformersLLM Evaluation: Tru Lens, Deep Eval, OpenAI Evals"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran: