Gen AI Consultant

Infosys Limited; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys Limited in Bengaluru seeks a hands-on AI engineer with 2-5 years experience to design and deliver Generative AI solutions using LLMs and RAG pipelines.

You will integrate OpenAI/Azure OpenAI, LangChain, and vector DBs, build APIs, and collaborate with cross-functional teams to implement scalable, secure AI applications.

Knowledge of MLOps, Kubernetes, and governance is valued, with opportunity to influence enterprise AI strategy.

Qualifications

• Hands-on experience with Generative AI, LLMs, and Prompt Engineering.

Responsibilities

• Design and develop Generative AI solutions using Large Language Models (LLMs).
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
• Develop AI Agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.
• Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, or other foundation models into enterprise applications.
• Implement prompt engineering and fine-tuning strategies to improve AI outputs.
• Build APIs and microservices to serve AI applications.
• Work with vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus.
• Collaborate with business and technical teams to translate requirements into AI solutions.
• Optimize model performance, scalability, security, and cost.
• Conduct testing, validation, and deployment of AI systems.
• Additional Responsibilities: Knowledge of MCP (Model Context Protocol).Experience in multi-agent systems and Agentic AI workflows.Exposure to fine-tuning, embeddings, and model evaluation.Experience with Kubernetes and MLOps practices.Knowledge of AI governance, security, and responsible AI practices.

Skills

Generative AI

LLMs

Prompt Engineering

NLP

Machine Learning

Deep Learning

REST APIs

CI/CD

Cloud platforms

Education

MCA

MTech

Bachelor of Engineering

BTech

Tools

LangChain

LangGraph

AutoGen

CrewAI

Semantic Kernel

OpenAI

Azure OpenAI

Claude

Gemini

Llama

Pinecone

ChromaDB

FAISS

Weaviate

Milvus

Kubernetes

MLOps

Docker

Job description

Job ID/Reference Code INFSYS-INDEED1-254347

Work Experience 2 - 5 Years

Educational Requirements MCA,MTech,Bachelor of Engineering,BTech

Service Line Engineering Services

Responsibilities Design and develop Generative AI solutions using Large Language Models (LLMs).Build and optimize RAG (Retrieval-Augmented Generation) pipelines.Develop AI Agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar.Integrate OpenAI, Azure OpenAI, Claude, Gemini, Llama, or other foundation models into enterprise applications.Implement prompt engineering and fine-tuning strategies to improve AI outputs.Build APIs and microservices to serve AI applications.Work with vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus.Collaborate with business and technical teams to translate requirements into AI solutions.Optimize model performance, scalability, security, and cost.Conduct testing, validation, and deployment of AI systems.

Additional Responsibilities: Knowledge of MCP (Model Context Protocol).Experience in multi-agent systems and Agentic AI workflows.Exposure to fine-tuning, embeddings, and model evaluation.Experience with Kubernetes and MLOps practices.Knowledge of AI governance, security, and responsible AI practices.

Technical and Professional Requirements: Hands-on experience with Generative AI, LLMs, and Prompt Engineering.Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.Knowledge of RAG Architecture and Vector Databases.Experience with Azure OpenAI, OpenAI APIs, Gemini, Claude, Llama, or Hugging Face Models.Understanding of NLP, Machine Learning, and Deep Learning concepts.Experience with REST APIs and microservices.Knowledge of Git, Docker, and CI/CD pipelines.Familiarity with cloud platforms such as Azure, AWS, or GCP.

Preferred Skills: Technology->AI-Generative AI->Generative AI for Data Analytics