Seekr builds explainable AI systems for government and critical infrastructure, with heavy emphasis on GPU infrastructure, model validation, and secure deployment. The tech stack reveals deep ML engineering (PyTorch, Transformers, TensorFlow, LangChain, RAG) paired with infrastructure-as-code (Kubernetes, containerization), and the project list shows they're actively optimizing hardware costs and deployment reliability — suggesting the company is maturing from research prototype toward production operations at scale. Senior-heavy hiring across engineering and data signals focus on deepening technical rigor rather than rapid headcount growth.
Seekr delivers AI systems for defense, telecom, finance, and critical infrastructure where accuracy and auditability are non-negotiable. The core product, SeekrFlow, is an end-to-end platform for building domain-specific large language models and AI agents with built-in bias detection, data integrity checks, and model explainability. Founded in 2021, the company operates as a SOC 2 certified private firm with deployment flexibility across cloud, on-premise, and edge hardware. Active projects center on GPU infrastructure optimization, containerized platform design, and repeatable deployment methodologies — indicating a product-market fit phase focused on operational hardening and cost efficiency.
SeekrFlow, an end-to-end AI platform for building domain-specific large language models and AI agents with content-scoring, bias detection, and explainability features for government and enterprise use cases.
PyTorch, TensorFlow, Keras, Transformers, LangChain, LlamaIndex, scikit-learn, Spark MLlib, and RAG frameworks, deployed on Kubernetes with GPU acceleration and PostgreSQL for data storage.
Seekr is hiring in the United States across engineering, data, product, ops, and support roles, with 7 active positions and a focus on senior-level talent.
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