Senior AI Platform Engineer
Teradata (company site, opens in a new tab)3+ yrsRemoteDirect career pageEst. 15–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and deploy advanced AI agent frameworks, LLM pipelines, and observability/evaluation components for production-grade, enterprise-scale AI systems.
- Develop and maintain backend microservices and APIs (REST, gRPC) supporting AI Studio capabilities with end-to-end application lifecycle management including incident resolution.
- Integrate and optimize stateful data layers such as vector databases and relational databases for agent memory and retrieval-augmented generation pipelines, ensuring system reliability and performance.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 3+ years experience in backend programming with Python or Go.
- Experience building AI agents using frameworks like LangGraph, Langchain, CrewAI and integrating Model Context Protocol (MCP) servers.
- 2+ years experience designing and managing REST or gRPC APIs and microservices; experience with PostgreSQL and vector databases.
Ideal Candidate Profile
- Experienced in LLM-specific observability, tracing, and evaluation tools such as Langfuse, LangSmith, Arize Phoenix, or OpenTelemetry for AI.
- Skilled in multi-agent orchestration and real-time monitoring, drift detection, closed-loop retraining systems, reflecting a strategic focus on scalable, resilient AI deployments.
- Demonstrated ownership of production AI systems with attention to reliability, scalability, security compliance, and continuous improvement.