Job highlights

- 2-5 years experience in Generative AI, LLMs, and cloud platforms (GCP/AWS/Databricks/Snowflake)
- Develop and deploy Generative AI solutions, build and optimize AI/ML models, design data pipelines, and maintain RAG applications

Position: Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snowflake) Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full time

Roles & Responsibilities

- Develop and deploy Generative AI solutions using LLMs and modern AI frameworks.
- Build, test, and optimize AI/ML models for business use cases.
- Design and implement data pipelines to prepare, transform, and process large datasets.
- Work with cloud platforms such as AWS, GCP, Databricks, or Snowflake to support AI workloads.
- Develop and maintain RAG (Retrieval Augmented Generation) applications and AI-powered assistants.
- Create prompts, workflows,



and integrations for Generative AI applications.
- Collaborate with Data Engineers, Data Scientists, and business teams to gather requirements and deliver AI solutions.
- Support model deployment, monitoring, and performance optimization activities.
- Utilize Python, SQL, and cloud-native tools for data processing and model development.
- Ensure data quality, security, and governance standards are followed across AI and data engineering workflows.
- Troubleshoot and resolve issues related to AI models, data pipelines, and cloud infrastructure.
- Stay updated with emerging technologies in Generative AI, LLMs, data engineering, and cloud platforms.

📌 Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snow (Hyderabad)
🏢 Infosys
📍 Hyderabad