Gen AI Engineer for Data Analytics & LLMs

Infosys Limited; Irving (TX); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Disability insurance

Health and dependent care accounts

Insurance (multiple)

Job summary

Infosys Limited is seeking a Data Science Consultant 1 in Irving, TX, to join Infosys Data and Analytics (DNA). You will contribute to data extraction, model development, and deployment of analytics tools, collaborating with technology teams and business stakeholders to translate requirements into predictive models.

The role emphasizes Generative AI, LLMs, and enterprise copilots, with opportunities to work on cutting-edge GenAI platforms.

Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution.
• Will also consider three years of progressive experience in lieu of every year of education.
• Experience in Generative AI and Large Language Models (LLMs).
• Hands-on experience with agentic frameworks (multi-agent systems, tool-using agents, planners).
• Exposure to LangChain or similar orchestration frameworks and cloud-based GenAI platforms.

Responsibilities

• Participate in data extraction, transformation, and preparation.
• Resolve data issues and ensure quality for model development.
• Develop models using statistical or machine learning techniques and operationalize them into analytics tools.
• Model testing and validation based on statistical and business metrics.
• Develop advanced analytics and ML/DL models including LLMs using predefined processes and tools like SAS and R/Python.

Skills

Generative AI

LLMs

LangChain

Agentic frameworks

Education

Bachelor's degree

Tools

SAS

R

Python

Job description

Infosys Limited is seeking a Data Science Consultant 1 in Irving, TX, to join Infosys Data and Analytics (DNA). You will contribute to data extraction, model development, and deployment of analytics tools, collaborating with technology teams and business stakeholders to translate requirements into predictive models.

The role emphasizes Generative AI, LLMs, and enterprise copilots, with opportunities to work on cutting-edge GenAI platforms.