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Infosys

AI Engineer (Gen AI, Gcp/ snowflake/aws)

Bangalore, India

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

AI Engineer (DBRX, AWS, Azure, GCP, Snowflake variants)

Core Skills:

Python, SQL, ETL/ELT, Data Modeling, Data Quality, Cloud-native Development, API Integration, Data Engineering, ETL, Document Processing, Workflow design, knowledge of LLM development, RAG

Prompt Engineering, AI Coding Assistants

Advanced Skills:

RAG Data Pipelines, LLM Data Integration, AI Service Integration, Scalable AI Deployments, Agent Orchestration, Tool Calling, LangGraph, LangChain

Semantic Layers, Data Governance, Memory Management, Autonomous Agents, Agent Routing, State Management, Memory Handling, Tool Integration

Responsibilities

Design, develop, and deploy Generative AI applications using LLMs and foundation models.

Develop AI solutions utilizing RAG (Retrieval-Augmented Generation) architectures.

Build and optimize AI pipelines using Python, LangChain, LlamaIndex, and vector databases.

Integrate AI solutions with AWS, GCP, and Snowflake environments.

Fine-tune and evaluate LLMs for domain-specific business use cases.

Create scalable APIs and microservices for AI model deployment.

Collaborate with data engineers, ML engineers, and business stakeholders.

Implement prompt engineering techniques and model performance optimization.

Ensure data security, governance, and compliance in AI applications.

Monitor and improve AI model performance in production environments.

Technical requirements

Strong programming experience in Python.

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

Experience with frameworks such as:

LangChain

LlamaIndex

Hugging Face

OpenAI APIs

Vertex AI / Bedrock

Strong cloud experience in AWS or GCP.

Hands-on experience with Snowflake including data integration and optimization.

Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.

Knowledge of REST APIs, microservices, and containerization (Docker/Kubernetes).

Familiarity with MLOps and CI/CD practices.

Education

MCA,MSc,MTech,BTech

Original posting on Infosys's site ↗

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