AI/ML Engineer

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

Hands-on experience with LLM s including

Prompt Engineering

Model evaluation

Retrieval-augmented generation (RAG)

Experience working enterprise or customer facing systems is a plus

Good to have

NLP experience with conversational AI

Familiarity with speech/voice data workflows (ASR, NLU, TTS concepts)

Libraries/ tools

Python / ML NumPy, Pandas, Scikit-learn

LLM Frameworks Langchain, Llamindex, hugging face transformers

Vector databases FAISS Chroma, Pinecone, Qdrant

NLP (Good to have)- SpaCy, NLTK, Sentence-transformers

LLM Evaluation: Trulens, Deepeval, OpenAI Evals