Infosys Hiring AI Engineer in Bangalore | Full Time

Job Overview

Infosys is hiring an AI Engineer for its Engineering Services service line in Bangalore. The role is intended for candidates with 1 to 2 years of work experience, including at least one year of experience in Artificial Intelligence or Machine Learning. The position focuses on building AI-driven interactive voice response (IVR) and conversational systems, applying natural language processing, and developing large language model workflows for voice and chat use cases.

The engineer will work across Python development, NLP, SQL-based data analysis, retrieval-augmented generation, and agentic AI workflows. The role also involves collaboration with IVR platform, speech engineering, and product teams, as well as mentoring offshore and junior AI engineers.

Key Responsibilities

• Design and develop AI-powered IVR and conversational applications using Python.
• Build natural language processing models for text classification and clustering to support intent identification and call routing.
• Analyze data using SQL to support development and evaluation of AI-driven solutions.
• Design and deploy large language model workflows for voice and chat applications, including prompt engineering, retrieval-augmented generation, and evaluation.
• Lead the development of agentic AI workflows that support multi-step customer interactions.
• Establish LLMOps practices for monitoring, evaluation, and lifecycle management of language model solutions.
• Collaborate with IVR platform specialists, speech engineering teams, and product teams.
• Provide guidance and mentorship to offshore and junior AI engineers.

Required Technical Skills

• Python: Strong programming proficiency and practical experience developing AI and machine learning solutions.
• Artificial Intelligence and Machine Learning: At least one year of experience in AI or ML-related work.
• Natural Language Processing: Practical knowledge of NLP, particularly text classification and clustering.
• SQL and Data Analysis: Ability to analyze data and work with SQL-based data sources.
• Large Language Models: Hands-on experience with LLM workflows, prompt engineering, evaluation frameworks, and retrieval-augmented generation.

Preferred Skills

The following capabilities are listed as good to have and can strengthen a candidate’s fit for the position:

• Experience with agentic AI and multi-agent orchestration.
• Experience implementing LLMOps or MLOps practices in production environments.
• Cloud experience.

Libraries, Frameworks, and Tools

The job description identifies a range of libraries and tools associated with the role:

• Python and Machine Learning: NumPy, Pandas, Scikit-learn, and XGBoost.
• Natural Language Processing: spaCy, Hugging Face Transformers, NLTK, and Sentence-Transformers.
• LLM Frameworks: LangChain, LlamaIndex, and OpenAI SDK.
• Agentic AI: LangGraph, AutoGen, and CrewAI. Agentic AI tools are listed as good to have.
• Data and SQL: Oracle, MySQL, and SQLAlchemy.
• Vector Databases: FAISS, Pinecone, Weaviate, and Qdrant.
• LLMOps and MLOps: MLflow, Weights & Biases, BentoML, and Airflow. These are listed as good-to-have tools.

Education and Qualifications

The accepted educational qualifications listed in the job posting are:

• Bachelor of Engineering (B.E.)
• Bachelor of Technology (B.Tech)
• Bachelor of Computer Applications (BCA)
• Master of Technology (M.Tech)
• Master of Computer Applications (MCA)

The posting does not specify a required academic branch or specialization for these qualifications.

Experience Requirements

The stated work experience range is 1 to 2 years. The technical requirements separately call for at least one year of experience in AI or Machine Learning. Candidates should be able to demonstrate practical Python skills and experience with the listed NLP, SQL, and LLM concepts.

Role Focus and Collaboration

This position combines conversational AI development with applied language-model engineering. The work covers intent detection, call routing, voice and chat use cases, multi-step agentic interactions, and operational practices for monitoring and evaluating LLM solutions. Collaboration with IVR, speech engineering, and product teams is part of the role, along with mentoring responsibilities.

Job Location and Work Arrangement

The job listing identifies Bangalore, Infosys Limited as the location. It does not specify a remote or hybrid arrangement. The configured work-mode value is therefore onsite by default, rather than a separately confirmed work-from-office requirement.

Who Should Apply

This opportunity is suited to candidates with one to two years of experience who have a strong Python foundation and practical exposure to AI or Machine Learning. Applicants should be familiar with NLP tasks such as text classification and clustering, SQL-based data analysis, and LLM techniques including prompt engineering and RAG. Experience with agentic AI, multi-agent orchestration, production LLMOps or MLOps, and cloud platforms is an additional advantage.

How to Apply

Review the qualifications and technical requirements before submitting an application through the official Infosys careers listing. Apply now through SoftoJobs to explore this opportunity.