AI Agentic Solutions Engineer

Tata Consultancy Services; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

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

Qualifications

• 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).

Responsibilities

• 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.

Skills

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

Tools

Lang Graph

CrewAI

AutoGen

Semantic Kernel

Job description

Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS' journey as we strive to achieve long-term net zero emissions by 2030.

Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today.

Please find the job description below.

Job Title: AI Agentic Solutions Engineer

We are seeking an experienced AI Agentic Solutions Engineer to design, develop, and deploy enterprise-grade Generative AI solutions leveraging Large Language Models (LLMs), multi-agent orchestration frameworks, and modern backend technologies. The candidate will be responsible for building intelligent agent ecosystems, integrating external tools and services, delivering automated insights and reports, and creating human-in-the-loop workflows that support business-critical use cases.

Primary Skill

• 2) Hands-on experience with at least one (Lang Graph, CrewAI, AutoGen, Semantic Kernel)
• 3) Experience building RESTful APIs and integrating third-party services.
• 4) Experience developing scalable backend applications using Fast API or Flask.
• 5) Strong understanding of LLM-based architectures and prompt engineering.
• 6) Experience with asynchronous programming, SSE, WebSocket's, and job queue

Secondary Skill

• 1) Experience implementing MCP-based tool integrations.
• 2) Knowledge of React, Reflection, and advanced agent reasoning frameworks.
• 3) Experience building automated reporting systems.
• 4) Hands-on experience with Plotly or Vega-Lite.
• 5) Frontend development experience with React, Next.js, or Streamlit.
• 6) Experience with cloud platforms such as Azure, AWS, or GCP.
• 7) Knowledge of AI governance, observability, and model evaluation.