- Location
- Austin, Texas, United States; Menlo Park, California, United States; Reston, Virginia, United States · Austin, TX · Menlo Park, CA · Reston, VA
- Department
- IT
- Seniority
- Lead
- Visa
- Not sponsored
Description
We're looking for a Staff or Principal AI Engineer to help build SeekrFlow Edge Builder, the platform that makes it simple to package, configure, deploy, and operate trustworthy AI solutions across edge, on-premises, cloud, disconnected, and air-gapped environments. You will work across AI, software, infrastructure, and security layers to turn complex deployment requirements into reliable, reusable product capabilities.
The Impact
Your work will help customers run mission-critical AI closer to their data and users, including in environments with limited connectivity, strict security requirements, and constrained hardware. You will shape the product architecture, developer experience, and operational foundations that make AI deployments repeatable, secure, observable, and easy to manage at scale.
Duties and Responsibilities
- Design and build core capabilities of SeekrFlow Edge Builder for packaging, configuring, deploying, and operating AI solutions at the edge.
- Develop workflows that assemble models, agents, data pipelines, APIs, and supporting services into repeatable edge deployments.
- Build abstractions and tooling for deploying AI workloads across cloud, on-premises, edge, disconnected, and air-gapped environments.
- Implement model and service lifecycle capabilities, including versioning, configuration, validation, upgrades, rollback, and compatibility management.
- Develop infrastructure and orchestration components for containers, Kubernetes, local inference, hardware accelerators, storage, and networking.
- Build optimization features that account for device capabilities, CPU/GPU availability, memory, storage, bandwidth, power, and latency constraints.
- Integrate model-serving runtimes, data connectors, APIs, observability components, security controls, and enterprise systems into the platform.
- Create automated preflight checks, deployment validation, health monitoring, diagnostics, and recovery workflows.
- Build secure-by-default platform capabilities, including identity, access control, secrets management, encryption, audit logging, and software supply-chain protections.
- Develop testing frameworks for functional correctness, deployment compatibility, performance, reliability, and AI model behavior.
- Design APIs, configuration schemas, user workflows, and developer interfaces that make complex edge deployments simple and repeatable.
- Troubleshoot and improve platform behavior across models, runtimes, containers, operating systems, hardware, networking, and customer environments.
- Collaborate with ML, platform, security, product, and customer engineering teams to turn deployment challenges into scalable product capabilities.
- Produce technical documentation, reference architectures, runbooks, and implementation guidance for Edge Builder users and internal teams.
Qualifications and Skills Required
- Experience building production AI/ML platforms, MLOps systems, developer tools, or deployment infrastructure.
- Strong Python, Go, or similar software-development skills.
- Experience with Docker, Kubernetes, Linux, APIs, networking, and infrastructure-as-code.
- Understanding of model serving, inference runtimes, quantization, batching, hardware acceleration, and resource-constrained environments.
- Experience with model formats or runtimes such as ONNX, TensorRT, PyTorch, Triton, vLLM, or similar technologies.
- Experience designing configuration-driven systems, deployment workflows, platform APIs, or orchestration tools.
- Knowledge of secure software development, identity and access management, secrets, encryption, auditability, and supply-chain security.
- Familiarity with edge, on-premises, disconnected, or air-gapped deployments.
- Strong systems-thinking and troubleshooting skills across application, platform, infrastructure, and AI layers.
- Experience building automated testing, observability, diagnostics, and reliability capabilities into platform products.
#LI-CT1
About the Company:
Company Benefits:
- Meaningful Mission & Impact - Work with a deeply talented, collaborative team solving some of the toughest AI challenges that matter.
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Equity Ownership – RSUs that let you share directly in Seekr’s long‑term success and growth.
- Time Off That Respects Real Life – Unlimited PTO plus 14 paid company holidays to truly recharge.
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Work Your Way – A flexible hybrid work environment with offices in Reston, VA and Austin, TX.
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Competitive Total Rewards – A role‑appropriate compensation structure that supports long‑term growth, including base salary, bonuses, or commission plans depending on role.
- 401(k) with Company Match – Build your future with a retirement plan that includes employer matching.
- Comprehensive Health & Wellness – Medical, dental, vision, and life insurance coverage starting day one—for you and your family.
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Parental Leave – Paid parental leave to support employees as they welcome a new child through birth, adoption, or foster placement.
Important Notice:
To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce.
Seekr is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
