INInfosys Limited
Senior AI Engineer
Bangalore Posted 3 Oct 2026
FULL TIME
Nlp
Pandas
Numpy
Scikit Learn
Nltk
+5 more
Job Description
Job Overview:
- Senior AI Engineer focused on creating scalable LLM and NLP solutions for managing high-volume customer interactions.
- This position will lead the implementation of architectural best practices and foster innovation within voice AI systems.
Core Responsibilities:
- Core Responsibilities
- Design and develop AI-powered IVR and conversational systems utilizing Python.
- Develop NLP models for text classification and clustering to enhance intent detection and call routing.
- Conduct data analysis using SQL.
- Create and implement LLM workflows, including prompt engineering and RAG evaluation for both voice and chat applications.
- Oversee the development of agentic AI workflows for multi-step customer interactions.
- Establish LLMOps best practices that encompass monitoring, evaluation, and lifecycle management.
- Collaborate with IVR platform, speech engineering, and product teams.
- Provide mentorship to offshore and junior AI engineers.
Technical Qualifications:
- A minimum of 9 years 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 utilizing SQL.
- Practical experience with LLMs, encompassing:
- o Prompt engineering
- o Evaluation frameworks
- o Retrieval Augmented Generation (RAG)
- Preferred Qualifications
- Experience with Agentic AI and multi-agent orchestration.
- Background in LLMOps/MLOps within production settings.
- Familiarity with cloud technologies.
- Tools and Libraries
- Python ML, NumPy, Pandas, Scikit-learn, XGBoost
- NLP libraries such as spaCy, Hugging Face Transformers, NLTK, and Sentence Transformers.
- LLM frameworks including LangChain, LlamaIndex, and OpenAI SDK.
- Agentic AI tools (preferred): LangGraph, AutoGen, CrewAI.
- Database technologies: SQL, Oracle, MySQL, SQLAlchemy.
- Vector databases: FAISS, Pinecone, Weaviate, Qdrant.
- LLMOps/MLOps tools (preferred): MLflow, Weights & Biases, BentoML, Airflow.
