IN
Job Description
Job Overview:
- Seeking an AI Engineer to create scalable LLM and NLP solutions tailored for high-volume customer interactions.
- This position will spearhead architectural best practices and foster innovation within voice AI systems.
Primary Responsibilities:
- Primary Duties
- Design and implement AI-driven IVR and conversational systems utilizing Python.
- Develop NLP models for text classification and clustering to enhance intent detection and streamline call routing.
- Conduct data analysis using SQL.
- Craft and deploy LLM workflows, prompt engineering, and RAG evaluation for both voice and chat applications.
- Lead the creation of agentic AI workflows to facilitate multi-step customer interactions.
- Set LLMOps best practices, which encompass monitoring, evaluation, and lifecycle management.
- Collaborate with IVR platform, speech engineering, and product teams.
- Guide and mentor offshore and junior AI engineers.
Technical Qualifications:
- Minimum of 1 year of experience in AI and ML.
- Exceptional proficiency in Python.
- Demonstrated expertise in NLP, including:
- o Text classification
- o Clustering
- Extensive experience in data analysis using SQL.
- Practical experience with LLMs, including:
- o Prompt engineering
- o Evaluation frameworks
- o Retrieval Augmented Generation (RAG)
- Desirable Skills
- Experience with Agentic AI and multi-agent orchestration.
- Familiarity with LLMOps and MLOps in production settings.
- Cloud computing experience.
- Technological Frameworks and Libraries
- Python, ML, NumPy, Pandas, Scikit-learn, XGBoost.
- NLP tools such as spaCy, Hugging Face Transformers, NLTK, Sentence Transformers.
- LLM frameworks, including LangChain, LlamaIndex, and OpenAI SDK.
- Agentic AI tools (desirable): LangGraph, AutoGen, CrewAI.
- Data management with SQL, Oracle, MySQL, SQLAlchemy.
- Proficiency with Vector Databases such as FAISS, Pinecone, Weaviate, Qdrant.
- Experience in LLMOps and MLOps (desirable): MLflow, Weights & Biases, BentoML, Airflow.