AI, LLM & GCP Software Engineer

UST

Thiruvananthapuram

On-site

INR 2,500,000 - 4,000,000

Full time

4 days ago
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Job summary

UST in India is seeking a Software Engineer with strong AI, LLM, and GCP skills to design, develop, and deploy enterprise-grade Generative AI solutions. The role focuses on AI-driven application development, LLM integration, and scalable cloud-native architectures on Google Cloud.

You will contribute to secure AI deployment practices, data privacy controls, and governance while delivering reliable, scalable AI platforms that support business needs.

Qualifications

  • 5–7 years of experience in software engineering and AI solution development.
  • Advanced proficiency in Python.
  • Experience with Generative AI, transformer architectures, embeddings, and modern NLP techniques.
  • Hands-on with Google Cloud Platform (GCP) services and cloud-native development.
  • Experience implementing AI security, governance, and data privacy controls in cloud environments.

Responsibilities

  • Design and develop AI-powered applications leveraging modern LLM technologies.
  • Integrate commercial and open-source LLM APIs into enterprise applications.
  • Build agentic AI workflows enabling multi-step reasoning, tool usage, and autonomous decisions.
  • Develop and optimize prompt engineering strategies for quality, reliability, and security.
  • Implement Model Context Protocol (MCP) integrations.
  • Develop Retrieval-Augmented Generation (RAG) solutions with vector databases and semantic search.
  • Design scalable, secure cloud-native architectures for AI workloads on GCP.
  • Deploy AI solutions on GCP using enterprise cloud services and AI platforms.
  • Ensure AI security, governance, and data privacy compliance.
  • Contribute to software engineering best practices including testing, debugging, and version control.

Skills

AI
LLM
Python
GCP

Job description

We are seeking a Software Engineer with strong expertise in AI, LLM, and GCP to design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate will contribute to AI-driven application development, LLM integration, cloud-native architectures, secure AI deployment practices, and scalable AI platforms built on Google Cloud technologies.

Key Responsibilities
  • Design and develop AI-powered applications leveraging modern LLM technologies.
  • Integrate commercial and open-source LLM APIs into enterprise applications.
  • Build agentic AI workflows that enable multi-step reasoning, tool usage, and autonomous decision-making.
  • Develop and optimize prompt engineering strategies to improve AI response quality, reliability, and security.
  • Implement and manage Model Context Protocol (MCP) integrations.
  • Develop Retrieval-Augmented Generation (RAG) solutions using vector databases, embeddings, and semantic search techniques.
  • Design highly available, scalable, and secure cloud-native architectures supporting AI workloads.
  • Develop and deploy AI solutions on GCP, leveraging enterprise cloud services and AI platforms.
  • Implement AI security, governance, data privacy, and guardrail mechanisms to support compliance requirements.
  • Contribute to software engineering best practices including testing, debugging, version control, and application reliability.
Required Skills
Proficient
  • AI
  • LLM
Intermediate
  • GCP
Experience
  • 5 to 7 years of experience in software engineering and AI solution development.
  • Advanced proficiency in Python.
  • Experience working with Generative AI, transformer architectures, embeddings, and modern NLP techniques.
  • Hands-on experience with Google Cloud Platform (GCP) services and cloud-native application development.
  • Experience implementing AI security, governance, and data privacy controls in cloud environments.
Why Join UST

UST partners with global organizations to deliver technology-led innovation and digital transformation solutions. Join a collaborative environment that fosters continuous learning, career growth, and opportunities to work on cutting-edge AI, cloud, and enterprise-scale technology initiatives that create meaningful business impact.

Skills

AI,LLM and GCP

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