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:
Num Py, Pandas, Scikit-learn

LLM Frameworks:
Lang Chain, Llama Index, Hugging Face Transformers

Vector Databases: FAISS, Chroma, Pinecone, Qdrant

NLP (Nice to Have): spaCy, NLTK, Sentence-Transformers

LLM 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.