Specialist II - ML Engineering

UST; Thiruvananthapuram; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

UST is seeking a senior GenAI architect to lead the design and deployment of multi-agent systems. The role emphasizes orchestration, tool integration, and governance for enterprise-scale AI projects. You will mentor teams and drive architecture decisions across cloud-native environments.

Ideal candidates bring hands-on expertise with LangChain/CrewAI, Python/TypeScript, and API integrations, plus deep knowledge of Docker, Kubernetes, and major cloud platforms.

Qualifications

• Experience with GenAI architecture design and multi-agent systems.
• Hands-on with LangChain/CrewAI and API integrations.
• Strong cloud-native and scalable software development background.

Responsibilities

• Architect multi-agent systems and design patterns for orchestration and tooling.
• Develop and deploy GenAI agents for requirement validation and auto-correction.
• Create test strategies and generate scenarios.
• Build automation scripts and self-healing capabilities.
• Plan data synthesis and performance.
• Ensure enterprise platform integration and observability.
• Implement security, RBAC, and governance safeguards.
• Optimize performance and cost with prompt engineering and caching.
• Mentor teams on GenAI architecture and best practices.
• Hands-on with LangChain/CrewAI, Python/TypeScript, and API integrations.
• Cloud-native architecture with Docker, Kubernetes, and AWS/GCP/Azure.
• Knowledge of vector databases and hybrid RAG strategies.
• 15+ years of experience.

Skills

Agentic AI

Generative AI

Cloud-Native

GCP

Kubernetes

CI/CD

Azure

REST API

AWS

Python

Redis

Tools

LangChain

CrewAI

Docker

Kubernetes

AWS

GCP

Azure

TypeScript

API Integrations

Python

Redis

Job description

Role Description

• Architect multi-agent systems: Design patterns for orchestration, memory management, and tool integration using frameworks like LangChain or CrewAI.
• Develop and deploy GenAI agents for tasks such as: Requirement validation and auto-correction
• Test strategy and scenario generation
• Automation script generation and self-healing
• Data synthesis and performance planning
• Integrate with enterprise platforms: Ensure compatibility with workflow tools, CI/CD pipelines, and observability dashboards.
• Implement security and governance: Role-based access control, audit logging, and responsible AI guardrails.
• Optimize performance and cost: Reduce token usage, latency, and operational overhead through prompt engineering and caching strategies.
• Mentor teams on GenAI architecture, prompt design, and best practices.
• Hands‑on experience with LangChain/CrewAI, Python/TypeScript, and API integrations.
• Strong knowledge of cloud‑native architecture (Docker, Kubernetes, AWS/GCP/Azure).
• Familiarity with RBAC, security frameworks, and compliance standards.
• Knowledge of vector databases (PGVector, Pinecone) and hybrid RAG strategies.
• 15+ years of experience

Skills

• Agentic AI
• Generative AI
• Cloud‑Native Development
• Google Cloud Platform
• Kubernetes
• CI/CD
• Microsoft Azure
• REST
• AWS
• Python
• Redis