Note: The job is a remote job and is open to candidates in USA. Seeq Corporation builds advanced analytics software for process manufacturing customers using industrial time-series and event data. The Staff/Principal AI Software Engineer will provide architectural leadership for backend platforms and agentic AI systems, owning ambiguous cross-team initiatives and building reliable production software. The role also includes mentoring engineers, collaborating with product leaders, and working with customers during early deployments.
Responsibilities
- **Set technical direction for backend and AI platform capabilities:** Define architecture, patterns, and technical approaches for scalable systems supporting AI and agentic applications
- **Lead high-impact AI and platform initiatives:** Own complex, ambiguous projects from concept through production, coordinating work across engineers, teams, and stakeholders
- **Architect agentic systems:** Design and build systems supporting agent routing, orchestration, tool use, evaluations, runtime infrastructure, sandboxing, and agent-to-agent communication
- **Build and evolve shared platform infrastructure:** Define backend services, runtime environments, interfaces, and architectural patterns that other engineering teams rely on to build AI-enabled applications
- **Build reliable distributed and data-intensive systems:** Develop backend services and APIs capable of supporting AI workloads across large data volumes and complex workflows
- **Create reusable AI platform capabilities:** Build shared services, APIs, libraries, orchestration patterns, runtime infrastructure, and developer-facing platform capabilities that enable multiple teams to build, deploy, and operate AI features consistently
- **Drive AI evaluation and reliability:** Establish approaches for evaluating agentic output, monitoring system behavior, and improving the reliability, safety, and observability of AI-enabled systems
- **Design systems integrations:** Build integrations that allow AI agents, internal services, and third-party enterprise platforms to communicate effectively
- **Drive work from idea to production:** Evaluate emerging approaches and translate promising AI technologies and patterns into pragmatic, maintainable production systems
- **Stay close to customers:** Work directly with customers during early deployments, understand how AI-enabled capabilities perform in real-world environments, and incorporate those learnings back into the product
- **Mentor and grow engineers:** Provide technical mentorship in backend architecture, platform engineering, agentic systems, AI engineering, and operational excellence
- **Identify opportunities proactively:** Surface risks, challenge assumptions, and identify better technical approaches rather than waiting for problems or solutions to be fully defined
- **Collaborate with product managers and owners**to develop and hone a vision for how generative AI is used by analytics engineering teams
Skills
- 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 areas such as agents, routing/orchestration, tool use, evaluations, runtimes, sandboxing, or related infrastructure
- Deep expertise in Python and backend engineering, including designing large-scale distributed systems, services, APIs, and data-intensive workflows
- Experience designing or owning shared platform services or infrastructure used by multiple engineering teams, including APIs, runtime systems, orchestration, deployment infrastructure, or common backend services
- 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 experience with 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
- You must be authorized to work in the country in which you reside
- Experience architecting multi-agent or complex agentic platforms used across multiple teams or products
- Experience defining shared AI or backend platform capabilities used broadly across an engineering organization
- Experience with retrieval architectures such as vector search, hybrid retrieval, re-ranking, or RAG
- Experience integrating AI agents with third-party enterprise platforms
- Experience working with industrial, operational, or time-series data
- Experience building software products used by technical or engineering-focused customers
- A background in mechanical, chemical, process, or another engineering discipline before moving into software
Benefits
- Equity
- 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
- Fully remote work arrangement
Company Overview