Job description
Our company:
At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
What you'll do
This role will require you to:
- Implement highly usable enterprise applications and tools using Java technologies
- Analyze and design complex features built as increments to existing products
- Design and develop features on the product roadmap
- Evaluate, investigate, and tune/optimize the performance of the application
- Design, develop, and maintain intelligent agentic systems that autonomously plan, reason, and execute complex workflows
- Build and orchestrate AI agents using frameworks such as LangGraph, integrate Large Language Models (LLMs)
- Develop and integrate Model Context Protocol (MCP) to enable dynamic context management across agentic workflows
- Write efficient, scalable, and clean code primarily in Java, with optional use of Python
- Collaborate with cross-functional teams to define, design, and ship new agentic features in an Agile development environment
- Ensure the availability, reliability, and performance of deployed agents and supporting services
- Integrate with CI/CD pipelines to enable seamless deployment and iterative development
- Monitor and optimize agent performance, including reasoning efficiency, latency, token usage, and telemetry data
- Troubleshoot and resolve issues related to agent behavior, orchestration, and integration
- Develop and support key features and functions throughout their life cycle, from conception to support and operations
- Resolve customer incidents and provide support to Customer Support and Operations teams
You will be successful by delivering measurable improvements in automation, decision-making accuracy, and user satisfaction through intelligent agentic systems.
Who you'll work with
You will join a high-performing engineering team with:
- Emphasis on innovation, continuous learning, and open communication
- Strong focus on mutual respect and empowering team members
- Commitment to celebrating diverse perspectives and fostering professional growth
This role is an Individual Contributor position, closely collaborating with team members and reporting to the Engineering Manager.
What makes you a qualified candidate
- B.Tech/M.Tech/MCA/MSc in Computer Science, Information Technology, or related disciplines
- 3-5 years of relevant industry experience in enterprise application development, agentic AI, or intelligent systems
- Expert level knowledge with experience working with Java
- Must have worked in one or more public cloud environments - AWS, Azure, or Google Cloud
- Experience working in Linux environments and containerized setups using Docker
- Solid understanding of relational databases and proficiency in SQL
- Familiarity with AI coding tools such as GitHub Copilot, or VS Code extensions (AI proficiency is a must)
- Working experience with agentic AI frameworks, Large Language Model (LLMs), Model Context Protocol (MCP)
- Excellent communication and teamwork skills
What you'll bring
You will be a preferred candidate if you have:
- Working experience with Python and REST API development
- Exposure to enterprise-grade agent deployment and performance tuning
- A proactive and solution-oriented mindset with a passion for agentic AI and continuous learning
- Creativity and adaptability in a dynamic environment
- A strong sense of ownership, accountability, and a drive to make an impact
#LI-AH1
This job post has been translated by AI and may contain minor differences or errors.
