AI Software Engineer – Staff/Principal

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $170 000 - $205 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 11%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Seeq Corporation

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51 - 200 employés

🤖 Intelligence artificielle

🏭 Fabrication

Artificial Intelligence • Manufacturing

Seeq Corporation développe des logiciels et des services qui accélèrent l'analyse des processus industriels sur les données des processus industriels. Les données des processus industriels sont la collection de données temporelles, d'événements et de signaux, ainsi que des données contextuelles associées, générées par les organisations de production et manufacturières. En raison du volume, de la vitesse et de la variété élevés de ces flux de données, les données des processus industriels nécessitent généralement une manipulation approfondie pour permettre des analyses et des insights. Les outils d'analyse sophistiqués mais faciles à utiliser de Seeq sont applicables aux marchés industriels tels que les raffineries de pétrole, les produits pharmaceutiques et la production d'énergie. Basée à Seattle, Seeq dispose également de bureaux satellites dans l'ouest des États-Unis et au Canada. Lancée en mai 2013, l'équipe fondatrice expérimentée comprend des cadres, ingénieurs et data scientists ayant travaillé précédemment chez OSIsoft, Honeywell, Microsoft et Insitu. Seeq est dirigée par la Dr Lisa Graham, PDG. Pour en savoir plus sur Seeq, rendez-vous sur www.seeq.com.

Description

• Define architecture, patterns, and technical approaches for scalable backend systems supporting AI and agentic applications • Own complex, ambiguous projects from concept through production, coordinating across engineers, teams, and stakeholders • Design and build agentic systems supporting agent routing, orchestration, tool use, evaluations, runtime infrastructure, sandboxing, and agent-to-agent communication • Define backend services, runtime environments, interfaces, and architectural patterns for AI-enabled applications • Develop reliable backend services and APIs supporting AI workloads across large data volumes and complex workflows • Build shared AI platform services, APIs, libraries, orchestration patterns, runtime infrastructure, and developer-facing capabilities • Establish approaches for evaluating agentic output, monitoring system behavior, and improving reliability, safety, and observability • Build integrations between AI agents, internal services, and third-party enterprise platforms • Evaluate emerging AI technologies and translate them into maintainable production systems • Work directly with customers during early deployments and incorporate real-world learnings into the product • Provide technical mentorship in backend architecture, platform engineering, agentic systems, AI engineering, and operational excellence • Surface risks, challenge assumptions, and identify improved technical approaches • Collaborate with product managers and owners to develop and hone a vision for generative AI in analytics engineering

🎯 Exigences

• Minimum 10+ years of professional software engineering experience, including experience operating at Staff or equivalent scope • A substantial portion of recent experience focused on generative AI or agentic systems • Proven track record leading complex AI, agentic, or platform initiatives from concept through production • Extensive hands-on experience building and operating agentic systems, including agents, routing/orchestration, tool use, evaluations, runtimes, sandboxing, or related infrastructure • Deep expertise in Python and backend engineering, including large-scale distributed systems, services, APIs, and data-intensive workflows • Experience designing or owning shared platform services or infrastructure used by multiple engineering teams • Experience with modern AI/LLM frameworks, SDKs, or orchestration tooling used to build production AI and agentic applications • Experience developing evaluation strategies and observability for AI or agentic systems • Familiarity with SQL and relational databases such as PostgreSQL • Experience deploying and operating production systems in Kubernetes or another containerized runtime environment • Experience building and operating software in a SaaS environment • Strong understanding of production AI concerns including reliability, monitoring, performance, cost, and failure handling • Ability to evaluate emerging AI approaches and translate them into pragmatic, maintainable software • Demonstrated ability to take ownership of ambiguous technical problems and independently drive them forward • Proven technical leadership of engineers and teams while maintaining strong individual hands-on contribution • Strong communication skills and experience mentoring and coaching engineers • Preferred: experience architecting multi-agent or complex agentic platforms used across multiple teams or products • Preferred: experience defining shared AI or backend platform capabilities used broadly across an engineering organization • Preferred: experience with retrieval architectures such as vector search, hybrid retrieval, re-ranking, or RAG • Preferred: experience integrating AI agents with third-party enterprise platforms • Preferred: experience working with industrial, operational, or time-series data • Preferred: experience building software products used by technical or engineering-focused customers • Preferred: background in mechanical, chemical, process, or another engineering discipline before moving into software

🏖️ Avantages

• Competitive salary, equity, and cash bonus incentives • Unlimited PTO • Internet and mobile phone reimbursements • Annual company meetups • 4-week paid sabbatical every 7 years at Seeq • Vacation bonus program • Generous home office allowance • Pet-friendly workspace • A job you'll love!

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