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.

Robust 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

📌 Specialist II - ML Engineering (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram