Description

Key Responsibilities

• 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 (FAQs, troubleshooting, account queries)
• Collaborate with IVR, speech, and platform teams to integrate AI models into production systems
• Evaluate model performance for accuracy, latency, and conversational quality
• Assist in continuous improvement of AI-driven voice experiences

Required Skills & Experience

• 3+ years of experience in AI / ML development
• Strong proficiency in Python
• Hands-on experience with LLMs, including:
• Prompt engineering
• Model evaluation
• Retrieval-Augmented Generation (RAG)
• Experience working in enterprise or customer-facing systems is a plus

Good to Have

• NLP experience related to conversational AI
• Familiarity with speech/voice data workflows (ASR, NLU, TTS concepts)

Libraries & Tools

• Python / ML: NumPy, Pandas, Scikit-learn
• LLM Frameworks: LangChain, LlamaIndex, Hugging Face Transformers
• Vector Databases: FAISS, Chroma, Pinecone, Qdrant
• NLP (Good to Have): spaCy, NLTK, Sentence-Transformers
• LLM Evaluation: TruLens, DeepEval, OpenAI Evals

Key Skills

Education

Any Graduate