AI Software Engineer – Staff/Principal

🕒 Setembro 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $170.000 - $205.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Seeq Corporation

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

🏭 Manufatura

Artificial Intelligence • Manufacturing

A Seeq Corporation desenvolve softwares e serviços que aceleram a análise de processos industriais em dados de processos industriais. \n\nOs dados de processos industriais são a coleta de dados de séries temporais, eventos e sinais, bem como dados contextuais relacionados, gerados por organizações de produção e manufatura. Devido ao alto volume, velocidade e variedade desses fluxos de dados, os dados de processos industriais normalmente exigem extensa manipulação para permitir insights e análises.\n\nAs ferramentas de análise sofisticadas, porém fáceis de usar, da Seeq são aplicáveis a mercados industriais como refinarias de petróleo, farmacêuticas e produção de energia.\n\nA Seeq, com sede em Seattle, também possui escritórios satélites no oeste dos Estados Unidos e Canadá. Lançada em maio de 2013, a equipe fundadora experiente inclui executivos, engenheiros e cientistas de dados, anteriormente da OSIsoft, Honeywell, Microsoft e Insitu. A Seeq é liderada pela Dra. Lisa Graham, CEO.\n\nSaiba mais sobre a Seeq em www.seeq.com.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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!