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Staff AI/ML Engineer

Burq

full-remoteleadpermanentbackenddata Full remote 84 days ago via WTTJ

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Tags

PythonFastAPIProduction Machine LearningMLOpsMulti-agent OrchestrationRAGDecision IntelligenceOptimizationLogisticsLangChain

About the role

Role overview

Join Burq as a Staff AI/ML Engineer to help build the company’s core AI technology. You’ll design and ship production AI systems, automate operational workflows, and build models that power decision-making—working closely with founders, product, and engineering.

Responsibilities

  • Design and ship production AI/ML systems, including:
    • Multi-agent orchestration, routing, and specialized agents
  • Automate operational work across areas such as:
    • onboarding, support, exceptions, and document/data understanding
  • Build decision models, including:
    • forecasting, prediction, matching/allocation, optimization, and reliability scoring
  • Own evaluation and safe rollout practices, such as:
    • offline + online evaluation tied to business outcomes
    • shadow mode rollout and drift monitoring

Requirements

  • Proven experience shipping production AI/ML systems (not only prototypes)
  • Strong hands-on engineering skills, especially:
    • Python and modern API/services (e.g., FastAPI)
    • solid ML-systems and architecture instincts
  • Ability to handle production tradeoffs (edge cases, quality, latency, cost, reliability)
  • Evidence of end-to-end work with clear communication and fast decision-making

Areas of expertise (choose at least one)

  • Generative / agentic AI: multi-agent orchestration, tool/function calling, RAG, structured outputs (e.g., LangGraph/LangChain, MCP) across providers (Bedrock, Azure OpenAI, Anthropic, OpenAI)
  • Applied ML / decision intelligence: forecasting, optimization, matching/allocation, ranking, or prediction models with measurable impact
  • Operations research / optimization or RL/bandits for sequential decisions
  • Multimodal / document understanding and/or computer-use/browser automation
  • Real-time/streaming systems and production MLOps at scale (feature stores, reliability)

Nice to have

  • Patents, peer-reviewed publications, or experience as an early/founding engineer
  • Background in logistics, supply chain, transportation, marketplaces, mobility, or fulfillment

About Burq

Burq is a technology company building core AI systems. The role focuses on designing and shipping production AI/ML technology that supports operational decision-making, with close collaboration across founders, product, and engineering.

Scraped 7/1/2026