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.

Required skills and 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 and 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.