AI / ML Engineer

Job Description: AI Engineer - Conversational AI / IVR
Responsibilities:

• 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: 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: