Gen AI Engineer – Production ML & LLM Solutions

Infosys Limited; Austin (TX); Hybrid; USD 73,000 - 122,000; Full time

Benefits offered by this job

Disability insurance

Health & Dependent Care Accounts

Insurance (various)

401(k) plan

Job summary

Infosys is seeking a Data Science Consultant 2 in the US to design and deliver enterprise GenAI solutions. You will develop data prep tasks, build predictive models, deploy production-ready analytics, and contribute to governance and documentation.

You'll work with Azure OpenAI, AWS Bedrock, and other LLM platforms, implement scalable APIs with FastAPI, Docker, and Kubernetes, and mentor teammates while driving analytics innovation across business units.

Qualifications

• Bachelor’s degree or foreign equivalent required.
• Experience with GenAI apps, Lang Chain, and prompt engineering.
• Experience with Azure OpenAI, AWS Bedrock or OpenAI platforms.
• Production APIs, microservices with FastAPI, Docker, Kubernetes.
• LLMOps practices including observability and guardrails.
• Collaborative, able to review code and drive decisions.

Responsibilities

• Develop data prep tasks and readiness for modeling.
• Build, evaluate, deploy models; apply governance and standards.
• Create scalable analytics and predictive models for business needs.
• Ensure model reliability and performance through testing and monitoring.
• Collaborate with stakeholders to refine requirements and deliver insights.
• Produce reusable code/templates for repeated deployment tasks.

Skills

Python

Lang Chain

Lang Graph

Llama Index

RAG

prompt engineering

Azure OpenAI

AWS Bedrock

OpenAI

Anthropic

FastAPI

Docker

Kubernetes

Git

GitHub Copilot

LLMOps

Education

Bachelor's degree

Tools

FastAPI

Docker

Kubernetes

Git

GitHub Copilot

Job description

Infosys is seeking a Data Science Consultant 2 in the US to design and deliver enterprise GenAI solutions. You will develop data prep tasks, build predictive models, deploy production-ready analytics, and contribute to governance and documentation.

You'll work with Azure OpenAI, AWS Bedrock, and other LLM platforms, implement scalable APIs with FastAPI, Docker, and Kubernetes, and mentor teammates while driving analytics innovation across business units.