Principal AI Engineer — Edge Deployment Platform (Equity)

Seekr; Reston (VA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Meaningful Mission & Impact

Equity Ownership

Unlimited PTO

Hybrid work environment

401(k) with Company Match

Comprehensive Health & Wellness

Parental Leave

Job summary

Seekr is seeking a Staff or Principal AI Engineer to help build SeekrFlow Edge Builder, a platform to package, configure, deploy, and operate trustworthy AI across edge, on-prem, cloud, and air-gapped environments.

You will design architecture, developer experience, and operational foundations to enable repeatable, secure AI deployments at scale, collaborating across ML, platform, and security teams.

Qualifications

• 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.

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.

Skills

Python/Go

Docker/Kubernetes

Edge deployments

Model serving runtimes

Security & IAM

APIs & IaC

Troubleshooting

Testing & Observability

Tools

ONNX

TensorRT

PyTorch

Triton

vLLM

Job description

Seekr is seeking a Staff or Principal AI Engineer to help build SeekrFlow Edge Builder, a platform to package, configure, deploy, and operate trustworthy AI across edge, on-prem, cloud, and air-gapped environments.

You will design architecture, developer experience, and operational foundations to enable repeatable, secure AI deployments at scale, collaborating across ML, platform, and security teams.