AI Software Engineer – Staff/Principal

🕒 September 22

🇺🇸 United States – Remote

💵 $170k - $205k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Seeq Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏭 Manufacturing

Artificial Intelligence • Manufacturing

Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. The company specializes in data analytics software for various industrial markets, including oil refineries, pharmaceuticals, and energy production. Seeq's tools are designed to handle extensive manipulation of time-series data, events, and signals to provide insights and analytics, making it easier for manufacturing organizations to optimize processes and enhance predictive maintenance. Founded in 2013 and based in Seattle, Seeq leverages a team of experienced professionals from notable companies such as OSIsoft, Honeywell, and Microsoft.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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