About the Role
Come to a leading IT services company where you can transform your career. Here, people make the difference, and we live a culture of unlimited learning.
As a member of our team, you will have the ideal scenario to expand your ideas through the right tools, contributing to our success in a collaborative environment.
We are looking for professionals who want to learn and transform their careers.
In this role, you will be responsible for:
Designing and building scalable multi-agent systems using Model Context Protocol (MCP)
Leveraging proven expertise in Python, AWS Bedrock, LangChain, or similar frameworks
Working with Generative AI Engineers to lead the design and integration of LLM-driven agents, build modular toolchains, and ensure seamless orchestration across enterprise-grade research applications
Applying solid understanding of retrieval-augmented generation (RAG), API integration, and LLM orchestration
Utilizing CI/CD, containerization (Docker/Kubernetes), and monitoring AI pipelines
The ideal candidate has 5+ years of software development experience, including 3+ years as an AI Engineer delivering multiple production-grade AI solutions, and at least 2 complete end-to-end AI/MCP-based orchestration projects, including knowledge of benchmarking and guardrails.
You will work in a cross-disciplinary research environment, collaborating with experts from various backgrounds.
What We Offer
TCS provides numerous benefits to support your growth and well-being, including:
Professional development opportunities
A diverse and innovative work environment that encourages teamwork
Opportunities to work on high-impact projects
A comprehensive compensation package
We value diversity, equity, and inclusion, and strive to create a workplace where everyone feels welcome and supported. If you're passionate about technology and innovation, join us and be part of a dynamic team that's shaping the future of IT services.<