Generative AI Agentic Solutions Engineer

Tata Consultancy Services; Kuala Lumpur; Presencial; MYR 180.000 - 240.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services is hiring an AI Agentic Solutions Engineer to design, develop, and deploy enterprise-grade Generative AI solutions leveraging LLMs, multi-agent orchestration frameworks, and modern backend technologies. You will build intelligent agent ecosystems, integrate external tools, deliver automated insights, and create human-in-the-loop workflows for critical business use cases.

Applicants should have hands-on experience with at least one of Lang Graph, CrewAI, AutoGen, or

Formación

• Experience designing, developing and deploying enterprise-grade Generative AI solutions.
• Strong background with LLM-based architectures and prompt engineering.
• Hands-on API integration with external tools and services.
• Ability to build scalable backend applications (FastAPI/Flask).

Responsabilidades

• Design and develop enterprise-grade Generative AI solutions using LLMs and multi-agent orchestration.
• Integrate external tools/services and deliver automated insights and reports.
• Create human-in-the-loop workflows for business-critical use cases.

Conocimientos

Lang Graph

CrewAI

AutoGen

Semantic Kernel

RESTful APIs

FastAPI/Flask

LLM architectures

Prompt engineering

Asynchronous programming

WebSocket/ SSE

Job queues

MCP-based tool integrations

React

Reflection

Agent reasoning frameworks

Plotly/Vega-Lite

Next.js/Streamlit

Azure/AWS/GCP

AI governance

Observability

Model evaluation

Herramientas

Lang Graph

CrewAI

AutoGen

Semantic Kernel

Descripción del empleo

Tata Consultancy Services is hiring an AI Agentic Solutions Engineer to design, develop, and deploy enterprise-grade Generative AI solutions leveraging LLMs, multi-agent orchestration frameworks, and modern backend technologies. You will build intelligent agent ecosystems, integrate external tools, deliver automated insights, and create human-in-the-loop workflows for critical business use cases.

Applicants should have hands-on experience with at least one of Lang Graph, CrewAI, AutoGen, or