Agentic AI / Data Engineer - DC GPU

AMD
Ontario
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Collaboration"]

Build production agentic AI systems on AMD Instinct GPU infrastructure, including agent orchestration, tool/function calling, and streaming inference integrations. Design the memory and context data layer for agentic applications (vector/graph/relational stores, embedding pipelines, retrieval and provenance/access-control). Develop engagement memory and fleet telemetry pipelines, maintain versioned skills libraries, and create evaluation and monitoring infrastructure to ensure reliable, safe agent behavior.

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FursaFursa
AMD
AMD
2 days ago

Agentic AI / Data Engineer - DC GPU

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build production agentic AI systems on AMD Instinct GPU infrastructure, including agent orchestration, tool/function calling, and streaming inference integrations. Design the memory and context data layer for agentic applications (vector/graph/relational stores, embedding pipelines, retrieval and provenance/access-control). Develop engagement memory and fleet telemetry pipelines, maintain versioned skills libraries, and create evaluation and monitoring infrastructure to ensure reliable, safe agent behavior.
Location: Ontario
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build production agentic AI systems on AMD Instinct GPU infrastructure, including agent orchestration, tool/function calling (MCP-based), skills frameworks, and streaming inference integrations against ROCm-based serving stacks (vLLM, SGLang).
  • •Design and operate the memory and context data layer for agentic applications, including vector/graph/relational stores, embedding pipelines, retrieval strategies, and provenance/access-control policies.
  • •Build the Applied AI team’s engagement memory and fleet data infrastructure by ingesting deployment telemetry, incident histories, and field knowledge into structured, queryable, agent-consumable form.
  • •Develop and maintain a versioned skills library (agent-executable encodings) with testing and review gates before it is relied on by agents or engineers.
  • •Build evaluation infrastructure for agentic systems, including regression suites, LLM-as-judge pipelines, behavioral test harnesses, and production quality monitoring.

Key Requirements

  • •5+ years of software engineering with significant production data engineering experience, including pipelines and data quality at scale.
  • •Hands-on experience building LLM-powered and agentic applications in production, including agent orchestration, RAG/context engineering, tool calling, and multi-step workflows.
  • •Depth in memory/context storage paradigms (vector databases, graph databases, or hybrid retrieval) and informed opinions on tradeoffs.
  • •Experience designing evaluation frameworks for non-deterministic systems.
  • •Strong Python with modern data stack tooling and containerized deployment on Kubernetes; ROCm/AMD Instinct experience is a plus.
Experience:AI/MLData engineering
Education:Bachelor's in Computer Science, Computer Engineering, Data Engineering, or equivalent practical experience
Skills:Problem-solvingCollaboration
Languages:English
Tech Stack:PythonKubernetesROCmVLLMSGLangMCPVector databasesGraph databasesRelational databasesEmbeddingsRAGLLM-as-judgeStreaming inference

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn