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Seekr

AI-driven reliability scoring of online content

Principal AI Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience building production artificial intelligence or machine learning 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.

About the Company

Seekr

AI-driven reliability scoring of online content

Seekr provides AI-based tools to rate the reliability of online content and reveal its political bias. It delivers the Seekr Score, a reliability rating, plus a Political Lean Indicator, Direct Quotes, and Filters to help users find high-quality information quickly through a privacy-first mobile browser. The AI is trained by journalists and data scientists to analyze content efficiently. Compared with competitors, Seekr combines a trust score with political bias signals and quote-based search features in a privacy-focused mobile app, serving individuals and organizations that need verified information. Its goal is to help users navigate the web, reduce misinformation, and access trustworthy information more efficiently.

Company size
51-200
Company stage
Series B
Total funding
$173M
Headquarters
Reston, VA
Founded
2021

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