Generative AI Engineer – GCP

UST

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

10 days ago

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Job summary

UST is seeking an experienced Software Engineer specializing in Generative AI and Google Cloud Platform with 5-7 years of software engineering experience. The role focuses on building enterprise-grade AI applications, RAG solutions, AI agents, and cloud-native architectures using Vertex AI, LangChain, and MCP.

You will design, develop, deploy, and optimize scalable AI solutions while ensuring security, governance, and responsible AI practices across GCP workloads.

Qualifications

5-7 years of professional experience in software engineering, AI/ML, or related field.
Advanced proficiency in Python and strong software engineering fundamentals.
Hands-on experience with Generative AI and LLM application development.
Experience integrating LLM APIs into enterprise applications.
Strong experience designing AI agents and agentic workflows.
Hands-on experience with LangChain or similar orchestration frameworks.
Experience with GCP and Vertex AI (BigQuery, Cloud Storage, Cloud Functions/Run).
Experience implementing AI security, governance, privacy, and responsible AI practices.

Responsibilities

Integrate LLM APIs into enterprise applications and workflows.
Design and develop agentic AI workflows with LangChain and ADK.
Build multi-step AI workflows with reasoning and autonomous decision-making.
Develop and optimize prompt engineering strategies for reliable outputs.
Implement MCP integrations for AI applications and agents.
Design and develop RAG pipelines using embeddings and vector databases.
Work with transformer-based architectures and NLP techniques like BERT.
Create scalable, secure cloud-native architectures for AI workloads on GCP.
Develop Python-based apps with clean coding, testing, and version control.
Implement AI guardrails, governance, and data-protection practices.
Collaborate with cross-functional teams to translate requirements into AI solutions.
Troubleshoot and optimize AI applications for performance and cost.

Skills

Python

Generative AI

LLM integration

Agentic AI

NLP

Strong analytical skills

Communication

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science/AI/Engineering

Tools

LangChain

Vertex AI

Google Cloud Platform (GCP)

BigQuery

Cloud Storage

Cloud Functions

Cloud Run

MCP

Vector databases

Embeddings

Job description

Role Description

Who We Are

At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact- touching billions of lives in the process. Visit us at .

Summary

UST is looking for an experienced Software Engineer- Generative AI & GCP with 5-7 years of software engineering experience and strong expertise in Generative AI, LLM integration, agentic AI, Python, and Google Cloud Platform.

The ideal candidate will have hands-on experience building enterprise-grade AI applications, RAG solutions, AI agents, and cloud-native architectures using technologies such as Vertex AI, LangChain, Google ADK, MCP, vector databases, and embeddings.

The candidate will be responsible for designing, developing, deploying, and optimizing scalable AI solutions while ensuring security, reliability, governance, and responsible AI practices.

Key Roles & Responsibilities

Integrate commercial and open-source LLM APIs into enterprise applications and business workflows.
Design and develop agentic AI workflows using orchestration frameworks such as LangChain and Google ADK.
Build multi-step AI workflows supporting reasoning, tool usage, workflow orchestration, and autonomous decision-making.
Develop and optimize prompt engineering strategies to deliver high-quality, reliable, consistent, and secure model outputs.
Implement and manage Model Context Protocol (MCP) integrations for AI applications and agents.
Design and develop Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, semantic search, and contextual retrieval.
Work with transformer-based architectures and modern NLP techniques, including models such as BERT.
Design highly available, scalable, secure, and resilient cloud-native architectures for enterprise AI workloads.
Develop and deploy AI solutions using Google Cloud Platform (GCP), with hands-on experience across Vertex AI, BigQuery, Cloud Storage, Cloud Functions, and Cloud Run.
Develop Python-based applications following sound software engineering principles, including clean coding, version control, testing, debugging, and maintainability.
Implement AI security, data privacy, governance, and responsible AI practices across AI solutions.
Design and implement AI Guardrails to manage model safety, reliability, data protection, and policy compliance.
Collaborate with cross-functional teams, architects, data scientists, and business stakeholders to translate business requirements into scalable AI solutions.
Troubleshoot, optimize, and continuously improve AI applications for performance, scalability, cost, and reliability.
Stay current with emerging developments in Generative AI, LLMs, agentic AI, RAG, AI frameworks, and cloud technologies.

What You Need

Required Skills

5-7 years of professional experience in software engineering, AI/ML engineering, or a related field.
Advanced proficiency in Python and strong software engineering fundamentals.
Hands-on experience with Generative AI and LLM application development.
Experience integrating commercial and/or open-source LLM APIs into enterprise applications.
Strong experience designing and developing AI agents and agentic workflows.
Hands-on experience with LangChain or similar AI orchestration frameworks.
Experience with Google ADK and/or equivalent agent development frameworks.
Experience implementing and managing Model Context Protocol (MCP) integrations.
Strong understanding of transformer architectures, LLMs, embeddings, NLP, and semantic search.
Hands-on experience building RAG pipelines using vector databases and embedding models.
Strong hands-on experience with Google Cloud Platform (GCP).
Practical experience with Vertex AI, BigQuery, Cloud Storage, Cloud Functions, and/or Cloud Run.
Experience implementing AI security, governance, privacy, and responsible AI practices.
Development experience with AI Guardrails is required.
Strong understanding of software development lifecycle, version control, testing, debugging, and deployment practices.
Strong analytical, problem-solving, communication, and collaboration skills.

Desired Skills

Experience designing, training, fine-tuning, and deploying machine learning and Generative AI models using Vertex AI.
Experience with Vertex AI Pipelines, Model Registry, and Endpoints for real-time and batch inference.
Experience building automated data pipelines for model training, evaluation, and inference.
Knowledge of MLOps practices, including ML CI/CD, model monitoring, model evaluation, and production performance tuning.
Experience with cloud-native architecture, microservices, APIs, containers, and serverless technologies.
Experience with additional vector databases, embedding models, and retrieval optimization techniques.
Familiarity with AI evaluation frameworks, observability, model monitoring, and LLM application testing.

Experience working with enterprise security and compliance requirements for AI workloads.

Qualification

Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Engineering, or a related technical discipline.
5-7 years of relevant professional experience in software engineering, AI/ML, or Generative AI.
Demonstrated experience delivering production-grade AI/ML or Generative AI solutions.
Strong communication and collaboration skills with the ability to work effectively in cross-functional and global teams.

What We Believe

We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion, and to place people at the centre of everything we do.

Humility

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity

Through business, we will better the lives of those less fortunate than ourselves.

Integrity

We honour our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.