Senior AI Engineer – Agentic AI & RAG

Role description

Job Summary

We are looking for an

AI Engineer

with deep experience in building

agent-based AI applications

. This role is ideal for someone passionate about pushing the boundaries of applied AI, particularly in

Retrieval-Augmented Generation (RAG)

, and developing production-grade intelligent systems that are

secure, governed, and enterprise-ready

.

Key Responsibilities

AI / LLM Engineering

• Design, develop, and deploy

agent-based AI systems using LLMs

.

• Build and scale

Retrieval-Augmented Generation (RAG) pipelines

for real-time and offline inference.

• Develop and optimize training workflows for

fine-tuning and adapting models

to domain-specific tasks.

• Collaborate with cross-functional teams to integrate

knowledge bases into agent frameworks

.

• Drive best practices in

AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP)

.

• Monitor, evaluate, and improve

model performance post-deployment on Google Cloud

.

DevOps / MLOps

• Implement version control strategies using

Git

, manage code repositories, and ensure best practices in code management.

• Develop and manage

CI/CD pipelines

using

GitHub Actions, Jenkins

, or other relevant tools to streamline deployment and updates.

Security & Identity

• Secure AI application front-ends and user interfaces by integrating them with enterprise

Single Sign-On (SSO)

and

Multi-Factor Authentication (MFA)

using:
OIDCOAuth 2.0SAML

• Integrate AI agent frameworks and service accounts with enterprise

IGA platforms

to automate:
Access provisioningEntitlementsCompliance auditing

Collaboration

• Communicate technical findings and insights to

non-technical stakeholders

.

• Participate in technical discussions and contribute to

strategic planning

.

Qualifications Education

• Master’s / Bachelor’s degree in:
  Computer ScienceArtificial IntelligenceMachine LearningOr a related field

Experience

10+ years of overall IT experience

.

5+ years of AI/ML Engineering experience

, with a strong focus on

LLM-based applications

.

• Proven experience building

agent-based applications

using

Gemini, OpenAI, or similar models

.

• Deep understanding of:
  RAG systemsVector databasesKnowledge retrieval strategies
• Hands-on experience with:

LangChain

LangGraph

• Solid background in:
  Model trainingFine-tuningEvaluationDeployment
• Strong coding skills in

Python

.

• Experience with modern

MLOps practices

.

• Experience managing:
  Service accountsIAM rolesSecret management tools

GCP IAM

Vertex AI security

Skills

AI/ML, Gen AI, LLM, RAG, LangChain, LangGraph, Python, GCP/Vertex AI

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.