Junior AI Engineer - GenAI & Data Engineering (GCP/AWS/Databricks/Snow

Infosys; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 2,100,000; Full time

Job summary

Infosys in Hyderabad seeks a Junior AI Engineer - GenAI & Data Engineering to develop and deploy Generative AI solutions, build data pipelines, and optimize AI/ML models. The role involves working with AWS, GCP, Databricks, and Snowflake to support AI workloads, plus building RAG apps and integrations.

Collaboration with data teams and business units is essential. 2–5 years of experience and strong Python/SQL skills are required, with focus on data quality, security, and governance in AI

Qualifications

• 2–5 years of relevant experience in AI/ML or data engineering.
• Proficiency in Python and SQL for data processing and model development.
• Experience building or deploying Generative AI solutions and RAG apps.

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 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.
• Ensure data quality, security, and governance standards are followed across AI and data engineering workflows.

Skills

Generative AI

LLMs

Python

SQL

Data pipelines

Tools

AWS

GCP

Databricks

Snowflake

Job description

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.