Senior AI Engineer
Teradata · Information Technology
- Location: Hyderabad, Bengaluru, Maharashtra (India)
- Work arrangement: hybrid
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Position:
Senior AI Engineer
Company:
Teradata
Location:
India, Hyderabad
Employment type:
Full Time
Work Arrangement:
Hybrid
Short Summary:
Teradata is building the next generation of AI-native enterprise platform, seeking a Senior Agentic AI Engineer to lead the design and development of production-grade agentic systems.
Responsibilities:
- Architect the Agentic Layer, Agent Design & Orchestration
- Design and implement production-grade multi-agent architectures
- Develop planning and reasoning frameworks and integrate them with enterprise workflows
- Implement end-to-end agent evaluation frameworks
- Design context window management systems and multi-tier LLM memory architectures
- Build reusable agent skills and document automation capabilities
- Leverage AI coding assistants for development and maintain engineering rigor
Requirement:
- BS/MS/PhD in Computer Science, AI/ML, or a related field
- 5+ years of software engineering experience, with 2+ years focused on LLM or agentic systems
- Hands-on experience building and deploying production agentic systems
- Proficiency in Python with strong fundamentals in typing, testing, and observability
- Familiarity with agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent
Benefits:
- Flexible work model
- Focus on well-being and personal/professional growth
- Commitment to fostering an inclusive environment
Senior AI Engineer
Company:
Teradata
Location:
India, Hyderabad
Employment type:
Full Time
Work Arrangement:
Hybrid
Short Summary:
Teradata is building the next generation of AI-native enterprise platform, seeking a Senior Agentic AI Engineer to lead the design and development of production-grade agentic systems.
Responsibilities:
- Architect the Agentic Layer, Agent Design & Orchestration
- Design and implement production-grade multi-agent architectures
- Develop planning and reasoning frameworks and integrate them with enterprise workflows
- Implement end-to-end agent evaluation frameworks
- Design context window management systems and multi-tier LLM memory architectures
- Build reusable agent skills and document automation capabilities
- Leverage AI coding assistants for development and maintain engineering rigor
Requirement:
- BS/MS/PhD in Computer Science, AI/ML, or a related field
- 5+ years of software engineering experience, with 2+ years focused on LLM or agentic systems
- Hands-on experience building and deploying production agentic systems
- Proficiency in Python with strong fundamentals in typing, testing, and observability
- Familiarity with agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent
Benefits:
- Flexible work model
- Focus on well-being and personal/professional growth
- Commitment to fostering an inclusive environment
Skills
- python
Languages
EN
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