AI Engineer in Phoenix: Build Scalable LLM Apps

Tata Consultancy Services Limited; Phoenix (AZ); On-site; USD 84,000 - 105,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Dental & Vision

Disability Insurance

Pet Insurance

Maternal & Parental Leaves

Auto & Home Insurance

Identity Theft Protection

Commuter Benefits

Certification & Training Reimbursement

Vacation & Holidays

401K Plan

Student Loan Refinancing

Job summary

Tata Consultancy Services in Phoenix, AZ is looking for an AI Engineer with 4+ years of experience to build scalable AI-powered applications and agents. You will work with Python/Java, LLM APIs, prompt engineering, and deploy on Kubernetes in public cloud environments.

Responsibilities include designing AI agents, integrating with LLM services, and collaborating with cross-functional teams to deliver reliable, scalable AI solutions.

Qualifications

• 4+ years of AI engineering experience.
• Hands-on with AI-powered apps and agents.
• Experience with LLM APIs and prompt engineering.

Responsibilities

• Develop scalable applications using Python or Java.
• Design and build AI agents.
• Integrate apps with LLM APIs.
• Apply prompt-engineering to improve solutions.
• Use SQL, Kafka, PySpark, and TypeScript for data processing and development.
• Leverage AI tools like Copilot, Claude, Devin AI.
• Develop and deploy apps using Kubernetes and public clouds.
• Collaborate with cross-functional teams to deliver scalable solutions.

Skills

Python or Java

SQL

Kafka

PySpark

TypeScript

Prompt engineering

Large language models

LLM APIs

AI-agent design

GitHub Copilot

Claude

Devin AI

Tools

Kubernetes

Azure

AWS

GCP

Job description

Tata Consultancy Services in Phoenix, AZ is looking for an AI Engineer with 4+ years of experience to build scalable AI-powered applications and agents. You will work with Python/Java, LLM APIs, prompt engineering, and deploy on Kubernetes in public cloud environments.

Responsibilities include designing AI agents, integrating with LLM services, and collaborating with cross-functional teams to deliver reliable, scalable AI solutions.