AI Software Engineer - Staff/Principal

Seeq · United States (Remote) · Full-time · Posted 2026-09-21

Salary: USD 187,500–220,000

Workplace: remote

Department: Software Engineering

Description

About Seeq

Seeq builds advanced analytics software for customers in process manufacturing industries such as pharmaceuticals, mining, renewables, and energy — organizations with massive amounts of time-series and event data from industrial operations.

We are a fully remote company that has operated this way from the start, using tools like Zoom, Slack, and our homegrown Qube virtual office to collaborate as if we were in the same building. Our teams iterate using agile practices and care deeply about clear communication, shared learning, and delivering software that exceeds customer expectations.

Role Overview

The AI Software Engineer is a domain-leading individual contributor who helps define and scale the backend platforms and AI systems supporting Seeq’s intelligent applications.

You will own highly ambiguous, cross-team technical initiatives and provide architectural leadership for backend platforms and agentic systems, helping establish the shared infrastructure, services, APIs, and engineering patterns that allow AI-enabled capabilities to operate reliably and safely at scale across Seeq.

This is a deeply hands-on role. You will combine significant experience building AI systems with strong backend and distributed systems expertise, broad technical influence, and continued involvement in designing, coding, debugging, and shipping production software.

Key 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.

Requirements

Required:

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

Preferred:

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

Seeq is a remote-first (and only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.

We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability and sustainability.

We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, and included in the Technology Fast 500 and Inc. Magazine’s Best Places to Work.

The Perks of Working at Seeq

Competitive salary, equity, and cash bonus incentives
$187,500 - 220,000 USD
Benefits:
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
The best co-workers (we've analyzed the data, so we know it's true.)
Pet-friendly workspace (your dog will be so happy to have you home)
A job you'll love!

Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas

Apply

Apply at Seeq

About the company

Seeq provides a data analytics platform focused on time series data for manufacturing. It processes large streams of operational data and, using machine learning and artificial intelligence, converts them into actionable insights in near real-time, reducing data analysis from months to days. The platform is designed to be user-friendly and accessible to a wide range of roles within a company, with industry-specific, tailored solutions and a subscription-based access model. A recent Databricks partnership signals a commitment to accelerating data convergence across enterprises, further enhancing the service. Seeq differentiates itself by specializing in time series analytics for manufacturing, offering broad role accessibility, and industry-tailored solutions, rather than generic analytics tools. Its goal is to help businesses operate more efficiently, increase profitability, and improve sustainability by turning vast time series data into timely, clear insights.

Company Size

201-500

Company Stage

Series D

Total Funding

$255.8M

Headquarters

Seattle, Washington

Founded

2013

Get referred to Seeq

See people who can refer or advise you

Simplify's Take

What believers are saying

Conneqt North America 2026 featured Intel, Eli Lilly, International Paper, and PBF Energy.
RWE expanded Seeq condition monitoring in March 2026, reducing turbine shutdowns and maintenance labor.
G2 named Seeq a 2026 Best Analytics Products winner on August 25, 2026.

What critics are saying

Agent Q can access every Vantage Room, increasing data-leak exposure and compliance scrutiny.
Seeq Intelligence depends on enterprise packaging; stalled renewals would pressure revenue quickly.
If industrial AI becomes a feature inside AVEVA or Databricks, Seeq loses standalone demand.

What makes Seeq unique

Seeq Intelligence, launched March 3 2026, fuses industrial data, context, and agentic AI.
Agent Q analyzes Vantage Rooms and Workbench data, embedding subject-matter expertise into decisions.
Seeq's closed-loop integrations with Innovapptive and Assurea connect analytics to execution and GxP validation.

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Benefits

Parental Leave
Unlimited Paid Time Off
Phone/Internet Stipend
Health Insurance
Life Insurance
Disability Insurance
Vision Insurance
Dental Insurance
Paid Vacation
Home Office Stipend
Company Equity
Remote Work Options

Growth & Insights and Company News

6 month growth

1 year growth

-1%

2 year growth

-3%

PR Newswire

Oct 13th, 2026

Seeq and Applied Computing team up to bring physics-based industrial AI to energy operations

Seeq and Applied Computing have signed a commercial agreement to combine Applied Computing's Orbital, a foundation model built for energy operations, with Seeq's industrial intelligence platform. The companies announced the deal on October 13, 2026. Orbital detects and diagnoses equipment and process issues, while Seeq's analytics tools let teams investigate those findings and visualise operational data. The companies say the pairing should improve efficiency, emissions, and reliability. The first use will support INSITE, a digital platform from engineering company KBR that serves the ammonia, petrochemical, LNG, and oil and gas industries. Analysts at KBR Innovation Studio Bengaluru will use Seeq to examine anomalies Orbital flags and write customer reports. The companies also plan to explore a two-way integration between the products.

PR Newswire

Oct 8th, 2026

Seeq partners with Cognizant to scale industrial AI adoption in life sciences manufacturing

Seeq, a global leader in Industrial AI, has announced a collaboration with Cognizant to accelerate manufacturing analytics adoption in life sciences and pharmaceuticals. The partnership combines Seeq's industrial AI and analytics platform with Cognizant's advisory, implementation, and change management capabilities. The collaboration will initially focus on helping pharmaceutical manufacturers improve operational efficiency through Seeq's Operational Efficiency and OEE Industry Solution. This enables companies to move from site-specific dashboards to standardised performance management across multiple sites. For regulated pharmaceutical environments, Seeq offers purpose-built capabilities designed to support compliance with 21 CFR Part 11 requirements, including auditability and data integrity features. The partnership aims to help manufacturers operationalise use cases such as Continued Process Verification and Overall Equipment Effectiveness. Whilst launching in life sciences, both companies see potential to expand the collaboration into other complex manufacturing sectors.

Assurea

Aug 23rd, 2026

Partnership announcement: Assurea and Seeq.

Partnership announcement: Assurea and Seeq. Assurea and Seeq have partnered to help pharma and biotech organizations adopt Seeq for Pharma & Biotech within GxP-regulated environments. Seeq for Pharma helps pharmaceutical and biotech teams use advanced analytics and monitoring to gain insights from process and manufacturing data, improve process performance, monitor quality, and support reporting across regulated operations. Assurea will serve as the implementation and validation partners for Seeq. As part of the partnership, Assurea has developed a validation package for Seeq that combines Assurea's expertise in CSV and GxP compliance with Seeq's technology. The package provides a structured, risk-based validation approach with pre-defined validation documentation, testing frameworks and validation deliverables, alignment with FDA/EMA guidance and GAMP 5 principles, and ongoing support as the platform evolves. The goal is to reduce the validation burden and support faster implementation for Seeq's customers to move into GxP use with confidence.

PR Newswire

Jun 11th, 2026

Seeq named to Inc.'s 2026 Best Workplaces list.

Seeq named to Inc.'s 2026 Best Workplaces list. Jun 11, 2026, 10:13 ET Annual list recognizes the businesses that set the standard for workplace success and awards excellence in company culture SEATTLE, June 11, 2026 /PRNewswire/ - Seeq, a global leader in industrial AI, is proud to announce it has been named to Inc.'s 2026 Best Workplaces list. The list, available at Inc.com, honors American companies that have built exceptional workplaces and vibrant cultures that support their teams and businesses, whether in-person, remote, or hybrid. The award recognizes standouts among hundreds of applicants, each of which are comprehensively measured and evaluated in numerous categories. The process involved a detailed employee survey conducted by Quantum Workplace that covered critical elements, including management effectiveness, perks, professional development, and overall company culture. Each company's benefits were also audited to determine the overall score, and Seeq is honored to be included among the companies recognized this year. "Our people are at the heart of everything we do at Seeq, and being recognized by Inc. as one of the Best Workplaces reflects the culture they have helped create," said Dr. Lisa Graham, CEO of Seeq. "We are committed to fostering an environment where employees are empowered to do meaningful work, grow together, and bring their expertise to solving manufacturing's most complex challenges. That commitment to teamwork helps employees feel supported and connected, while giving them the flexibility to thrive professionally and personally." Seeq creates industrial AI and decision intelligence solutions that enable organizations to turn industrial data into faster, better decisions that drive enterprise-wide outcomes. By amplifying human expertise with AI, Seeq delivers actionable operational insights and creates decision traceability that enables engineers, operators, and business leaders to improve reliability, optimize performance, increase productivity, and advance more sustainable operations. Organizations across oil and gas, specialty chemicals, pharmaceuticals and life sciences, semiconductors, mining, and many more industries rely on Seeq to make better operational decisions at scale. Investors in Seeq include Second Avenue Partners, Altira Group, Insight Partners, Sixth Street Growth, Chevron Technology Ventures, and Saudi Aramco Energy Ventures. "This year's Best Workplaces list goes beyond great company culture - it highlights companies making meaningful and sustained investment in their employees," says Bonny Ghosh, editorial director at Inc. "Even in a labor market that favors employers, these companies understand that an intentional and authentic commitment to their teams drives stronger employee retention, engagement, and ultimately, a stronger business overall." To view the full list of winners, visit Inc.com. About Seeq Seeq, a global leader in industrial AI, delivers a self-service platform with capabilities spanning from advanced analytics to enterprise-level decision intelligence. Seeq's approach - human expertise, amplified by AI - powers real transformation at many of the largest, most innovative companies in industry in verticals like oil & gas, specialty chemicals, pharmaceuticals and life sciences, semiconductors, mining, and many more. Seeq empowers leaders to drive meaningful, enterprise-wide change in operational efficiency, sustainability, human productivity, and profitability. Seeq is a privately held virtual company with employees around the globe. To learn more about Seeq, visit www.seeq.com. About Inc. Inc. is the leading media brand and playbook for entrepreneurs and business. Through its journalism, Inc. aims to inform, educate, and elevate the profile of its community: the risk-takers, the innovators, and the ultra-driven go-getters who are creating the future of business. Inc. is published by Mansueto Ventures LLC, along with fellow leading business publication Fast Company. For more information, visit www.inc.com. About Quantum Workplace Quantum Workplace, based in Omaha, Nebraska, is an HR technology company that serves organizations through employee-engagement surveys, action-planning tools, exit surveys, peer-to-peer recognition, performance evaluations, goal tracking, and leadership assessment. For more information, visit QuantumWorkplace.com. SOURCE Seeq Corporation

PR Newswire

Jun 2nd, 2026

Seeq kicks off Conneqt North America 2026 with focus on industrial AI and decision intelligence

Seeq, a global leader in Industrial AI, is hosting Conneqt North America 2026 in Orlando, focused on the theme "Analytics to Intelligence". The conference brings together industrial operations leaders to explore how AI and emerging technologies are accelerating business outcomes. CEO Dr Lisa Graham will introduce Seeq's concept of "Decision Capital", describing it as institutional knowledge built across data, analytics, context and expertise. The event features keynotes from Seeq leadership and LNS Research President Matthew Littlefield, alongside customer-led sessions from organisations including International Paper, PBF Energy, Intel and Eli Lilly. Chief Product Officer Mark Derbecker will demonstrate Seeq Intelligence, the company's AI-driven decision intelligence platform. Amazon Web Services and Radix serve as gold sponsors for the event.

Seeq

AI Software Engineer – Staff/Principal

About the job