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Gen Ai Engineer

Infosys

Bengaluru, INonsitePosted Jun 29, 2026
Posting intelligenceActively listed

Skills

kuberneteslangchaindockerpythonopenaiazureawsllmml

About the role

Job Description:

We are seeking a highly skilled Generative AI Engineer with 5 years of software engineering experience and strong expertise in AWS and Azure cloud platforms

The ideal candidate should have hands on experience designing developing deploying and optimizing LLM based applications RAG pipelines AI agents and enterprise grade GenAI solutions

The role requires strong proficiency in Python cloud native development MLOps practices and modern AI frameworks

Key Responsibilities:

Design develop and deploy enterprise scale Generative AI solutions using LLMs and foundation models

Build and optimize Retrieval Augmented Generation RAG 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

Stay updated on advancements in LLMs Agentic AI Multi Agent Systems Vector Databases and Cloud AI services

Technical Requirements:

GenAI Generative AI LLM RAG LangChain LangGraph Semantic Kernel Agentic AI AI Agents AWS Bedrock Azure OpenAI Azure AI Studio Prompt Engineering Vector Database Pinecone FAISS ChromaDB FastAPI Python AKS EKS Docker Kubernetes MLOps Azure ML OpenSearch Hugging Face

Additional Responsibilities:

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

Preferred Skills:

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

Questions about this role

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