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# Senior AI Platform Engineer

- **Company:** Teradata
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Layers, Computer Programming, Relational Databases, Python (Programming Language), PostgreSQL, Open Source Technology, Software Engineering, Systems Integration, Teradata SQL, Dynamic Routing, Cloud Platform System, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Application Programming, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Data Layers, AI Platforms, LangSmith, Information Technology, CrewAI, Performance Monitor, AutoGen, Arize Phoenix, Data Management, Api Design, Model Context Protocol, Grpc, GPT, Microservices
- **Published:** October 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pvbgd9783b

## About the Role

* A Bachelor's or Master's degree in Computer Science, Engineering or a related field - your academic foundation is key.
 * Core Programming: 3+ years of experience with any of the backend languages (Python, Go).
 * Agent Frameworks: Hands-on experience building agents using frameworks like LangGraph, Langchain, CrewAI, etc. and integrating Model Context Protocol (MCP) servers.
 * Direct experience building applications with LLM frameworks and multi-agent orchestration systems.
 * Data Management: Direct experience managing relational databases (PostgreSQL) and Vector stores.
 * API Design: 2+ years in building and managing REST or gRPC APIs and microservices for the application layer.

What You'll Bring

 * Hands-on experience with LLM observability, tracing, and evaluation platforms (e. g. , Langfuse, LangSmith, Arize Phoenix, or OpenTelemetry for AI).
 * Experience with LLM-specific tools and frameworks (LangChain, vector databases, prompt engineering).
 * Experience with infrastructure security and compliance standards.
 * Contributions to open-source projects or technical communities.
 * Strong problem-solving skills and ability to work in a collaborative team environment.
 * Ownership mindset with a focus on reliability, scalability, and continuous improvement.

## Description

* Develop and maintain robust backend microservices and APIs (REST, gRPC) to support Teradata AI Studio capabilities.
 * Build, orchestrate, and deploy autonomous AI agents using frameworks like LangGraph, CrewAI, or AutoGen.
 * Implement tool calling, dynamic routing, and Model Context Protocol (MCP) integrations for multi-agent workflows.
 * Manage full application lifecycles, including application-level observability (e. g. , OpenTelemetry, Langfuse) and production incident resolution.
 * Integrate and optimize stateful data layers, including vector databases and relational databases (e. g. , PostgreSQL) for agent memory and RAG pipelines.
 * Implement AI-specific observability and tracing for LLM pipelines and multi-agent workflows to monitor performance, token usage, and response quality.

Who You'll Work With

Imagine collaborating daily with some of the brightest minds in the company - individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Cloud platform. Your insights will directly shape the future of our intelligent data solutions.

You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.