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Gen Ai Engineer

Infosys Limited

Bengaluru

5-7 years

Today

$31.3K–42.2K/yr

Full time

Onsite

Skills Required LLM

RAG

LangChain

Agentic AI

Azure OpenAI

Prompt Engineering

Vector Database

Hugging Face

LangGraph

Semantic Kernel

AWS Bedrock

Azure AI Studio

Pinecone

FAISS

ChromaDB

Description Infosys Limited is hiring a Gen Ai Engineer for its Data & Analytics Unit in Bangalore. The role focuses on building and scaling enterprise GenAI solutions, RAG pipelines, and AI agents.

Company: Infosys Limited

Role: Gen Ai Engineer

Location: Bangalore

Experience

- 5 - 7 Years

Qualification

- Bachelor of Engineering
- Bachelor Of Technology (Integrated)

Responsibilities

- Design, develop, and deploy enterprise-scale Generative AI solutions using LLMs and foundation models
- Build and optimize Retrieval-Augmented Generation pipelines for knowledge-based applications
- Develop intelligent AI agents and workflows using LangChain, LangGraph, Semantic Kernel, CrewAI, or similar frameworks
- Integrate GenAI solutions with enterprise systems, APIs, databases, and third-party services
- Implement prompt engineering, prompt tuning, and LLM evaluation frameworks
- Deploy, monitor, and scale AI applications on AWS and Azure cloud environments
- Design secure and scalable cloud architectures leveraging serverless and containerized services
- Implement CI/CD pipelines and MLOps best practices for model deployment and lifecycle management
- Collaborate with Data Scientists, ML Engineers, Product Owners, and Architects to deliver business-focused AI solutions
- Monitor model performance, latency, cost optimization, hallucination control, and overall system reliability

Additional Responsibilities

- Stay updated on advancements in LLMs,



Agentic AI, Multi-Agent Systems, Vector Databases, and Cloud AI services
- Experience with multi-agent frameworks and autonomous AI workflows
- Knowledge of Responsible AI, AI Safety, and Governance
- Familiarity with model monitoring, evaluation, and feedback loops
- Hands-on experience in productionizing GenAI applications
- Exposure to distributed systems and microservices architecture

Nice To Have

- Technology->AI-Generative AI->Artificial Intelligence - BASIC
- Technology->AI-Data science->Machine Learning
- Technology->AI-Generative AI->Generative AI for Data Analytics

More Skills GenAI, Generative AI, FastAPI, Python, AKS, EKS, Docker, Kubernetes, MLOps, Azure ML, OpenSearch

Other

- Job ID/Reference Code: INFSYS-EXTERNAL-248120
- Service Line: Data & Analytics Unit

Prepare for this role Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Functions, Tools and Agents with LangChain

Coursera

Advanced LangChain covering function calling, tool use, and conversational agents.

Large Language Models: Application through Production edX

Production-focused LLM course covering deployment, monitoring, and scaling.

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