AI / ML Engineer

AI Engineer – Conversational AI / IVR 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. 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. Experience with NLP for conversational AI applications. Familiarity with speech and voice data workflows, including ASR, NLU, and TTS concepts. Python / ML: NumPy, Pandas, Scikit-learn LLM Frameworks: LangChain, LlamaIndex, Hugging Face Transformers Vector Databases: FAISS, Chroma, Pinecone, Qdrant NLP (Nice to Have): spaCy, NLTK, Sentence-Transformers LLM Evaluation: TruLens, DeepEval, 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." Datum Technologies Group