IN

Senior AI Engineer

Infosys Limited
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.

Desired Skills:

Technology->OpenSystem->Python - OpenSystem->Python, Technology->AI-Responsible AI->Responsible AI, Technology->AI-Agentic AI->Agent Engineering, Technology->Database->SQL tuning, Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Azure NLP
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