6170c199-145 Generative AI Integration Engineer Anduril Industries is seeking a Generative AI Integration Engineer to join their team. As a key member of the Mission Autonomy Engineering team, you will design, implement, and evolve the means by which Agents interact with classical software systems. Your primary responsibility will be to contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models.

The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.

In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.

If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.

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]]> full-time senior onsite $191,000-$253,000 USD Deep knowledge of the implementation and use of LLMs, Experience integrating agents into classical systems, Strong programming skills in Python or other core languages (Java, Go etc), PhD or Master's degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience, Experience with simulation or real-world validation for autonomous vehicles, Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community, Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar), Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines, Familiarity with C/C++ Engineering Technology Anduril Industries https://logos.yubhub.co/anduril.com.png Anduril Industries is a defense technology company that develops and deploys advanced technology to transform U.S. and allied military capabilities. https://anduril.com https://job-boards.greenhouse.io/andurilindustries/jobs/4792948007 Costa Mesa, California, United States 2026-04-18 aa4023a9-ca3 Product Manager We are looking for a Product Manager to join the ML/AI Platform team. The team helps various groups build, deliver, and run ML and AI-enabled experiences at scale. We want a Product Manager to oversee AI Observability and Evaluation. These platform tools assist teams in tracking LLM behaviour during production, quickly resolving issues, measuring performance, and consistently refining our AI products.

This is an internal platform role with highly technical customers (ML engineers, backend engineers, data scientists). You will partner closely with engineering leaders to define the paved road for instrumenting, monitoring, and operating AI workloads end-to-end.

Responsibilities

  • Own the product roadmap for Spotify's AI observability capabilities across instrumentation, data contracts, and debugging workflows.
  • Collaborate with stakeholders to develop the roadmap for Spotify's AI/Agentic evaluation capabilities via LLM-as-judges and other approaches.
  • Build golden path instrumentation defaults (SDKs/libraries/templates) that make LLM workloads observable by default.
  • Partner with engineering to deliver root-cause workflows across LLM chains/agents (what changed, where time/cost is spent, which step fails, which prompt/template/model version regressed).
  • Drive adoption with internal teams through discovery, pilots, documentation, and ongoing enablement.
  • Define and track success metrics (coverage, time-to-first-trace, regressions caught pre-prod, MTTR, cost anomalies detected early).
  • Partner with Privacy/Security to establish safe logging and retention guidance that supports both compliance and debuggability.

Requirements

  • 2+ years of experience as a Product Manager, Technical Product Manager, or equivalent product ownership role.
  • Familiar with ML and AI development flows, and comfortable reasoning about LLM application patterns (prompting, RAG/agents, evaluation basics).
  • Aware of LLM evaluation approaches (golden datasets, regression testing, human-in-the-loop review, LLM-as-a-judge).
  • Comfortable partnering with engineers on technical tradeoffs and system design, even if you are not writing production code.
  • Strong product fundamentals: discovery, prioritization, roadmap communication, and stakeholder alignment.
  • Metrics-oriented and pragmatic; you can define outcomes and iterate based on evidence.

Benefits

  • Competitive salary range: 98,155 - 140,222 CAD plus equity.
  • Flexible work arrangement with some in-person meetings.

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]]> full-time mid hybrid 98,155 - 140,222 CAD plus equity Product Management, ML and AI development flows, LLM application patterns, LLM evaluation approaches, Technical tradeoffs and system design, Product fundamentals, Metrics-oriented and pragmatic Engineering Technology Spotify https://logos.yubhub.co/spotify.com.png Spotify is a music streaming service that provides access to millions of songs and podcasts. https://www.spotify.com/ https://jobs.lever.co/spotify/92d1ba03-770d-4831-9227-e0db487567b9 Toronto 2026-03-31