Staff AI/ML Engineer

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Burq

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛍️ eCommerce

☁️ SaaS

💰 Pre Seed Round on 2021-06

eCommerce • Logistics • SaaS

Burq is a comprehensive delivery platform that enables businesses across various industries, including e-commerce, food, floral, health & wellness, and construction, to offer on-demand delivery services. By integrating with Burq, companies can connect seamlessly with multiple delivery providers, allowing them to scale quickly to new markets and improve customer satisfaction with same-day and efficient delivery options. Burq also provides advanced tracking technology and does not charge commissions, ensuring optimal delivery solutions for businesses. With a focus on easy integration and a broad network of delivery providers, Burq empowers businesses to offer reliable delivery services without the need to build their own infrastructure.

📋 Description

• Design and ship production AI systems — multi-agent orchestration, routing, and specialized agents that take a request and carry it through to a reliable outcome. • Automate manual operational work across onboarding, support, exceptions, and document/data understanding — turning processes that take hours or days into seconds. • Build the models behind the decisions — forecasting, prediction, matching/allocation, optimization, and reliability scoring that ground the product in data instead of guesswork, exposed as services the agent layer can call. • Design the learning loop. Instrument decisions and their outcomes so models continuously improve, with the data and evaluation infrastructure to support it. • Own reliability and evaluation. Build the eval harnesses, tracing, observability, and guardrails for complex AI workflows where mistakes carry real operational and financial consequences — and prove a model or agent beats the status quo before it ships. • Make the build-vs-rules calls — know when a model genuinely wins, when an agent is the right tool, and when a simple rule is the smarter answer. • Raise the bar and help the team grow — push our prototyping-to-production pipeline forward and mentor engineers as the AI team scales.

🎯 Requirements

• You've shipped production AI/ML, not just prototypes — and dealt with the real tradeoffs of edge cases, quality, latency, cost, and reliability. • You have real depth on at least one of these, and working fluency across both: • - Generative / agentic AI — multi-agent orchestration, tool/function calling, RAG, structured outputs, and the modern stack (e.g., LangGraph/LangChain, MCP), across providers (Amazon Bedrock, Azure OpenAI, Anthropic, OpenAI). • - Applied ML / decision intelligence — forecasting, optimization, matching/allocation, ranking, or prediction models that drive operational decisions with measurable business impact. • You design and trust your own evaluation — offline and online, tied to business outcomes, with safe rollout (e.g., shadow mode) and drift monitoring. • You're deeply hands-on and ship fast — strong in Python, modern API/services (e.g., FastAPI), and sound ML-systems and architecture instincts. • You've built for operationally complex or high-stakes environments where quality and reliability genuinely matter. • You communicate clearly, make decisions quickly, and can lead technical work without needing heavy process. • Bonus points: • - Background in logistics, supply chain, transportation, marketplaces, mobility, or fulfillment. • - Operations research / optimization, or reinforcement learning / bandits for sequential decision-making. • - Multimodal / document understanding, computer-use, or browser automation. • - Real-time / streaming systems, feature stores, and production MLOps at scale. • - Patents or peer-reviewed publications, or experience as an early/founding engineer.

🏖️ Benefits

• Competitive salary, stock options, and performance-based bonuses • Fully remote • Comprehensive medical, vision, and dental insurance