Jobs at Seekr Technologies

The Senior DevOps Engineer will design, operate, and enhance Kubernetes platforms, manage networking, and automate infrastructure while ensuring security and scalability across environments.

Own SeekrGuard product strategy and roadmap for AI model evaluation and certification. Lead end-to-end product discovery, prioritization, and delivery with Engineering and Design. Drive enterprise and government customer engagement, define success metrics, and ensure audit-ready risk scoring, certification, and governance workflows. Align cross-functional teams and communicate product direction to executives and customers.

The Director of Product Management will lead Explainability and Contestability initiatives, define product strategy, and ensure AI systems behave transparently and effectively across the platform.

Seeking a Senior React Engineer to drive front-end initiatives, collaborating with multiple teams to build scalable applications while contributing high-quality code.

The Senior Product Manager will drive the SeekrFlow platform by defining product roadmaps, collaborating with teams, and analyzing market needs while leveraging AI and language models.

Create and maintain clear, user-centric documentation and installation guides for self-hosted Seekr products across cloud, on-prem, and edge environments. Collaborate with engineers and DevOps to translate Generative AI/LLM concepts and code samples into accurate docs, reference architectures, and SDK/API guidance while driving stakeholder alignment and continuous improvements.

Design, build, and operate large-scale AI infrastructure for training, inference, evaluation, and autonomous agent workloads across cloud, on-prem, hybrid, and edge. Lead architecture, reliability, performance tuning, GitOps/IaC automation, and cross-functional collaboration while mentoring engineers and supporting production incidents and continuous improvement.

Design, build, and operate scalable, secure AI platform infrastructure for training, fine-tuning, inference, evaluation, and autonomous/multi-agent systems. Lead architecture, optimize GPU-accelerated and distributed systems across cloud, on-prem, hybrid and edge, implement IaC/GitOps/CI-CD, integrate model serving technologies, mentor engineers, and participate in production support, performance tuning, and incident response.

Lead end-to-end product design for SeekrGuard, defining UX vision, information architecture, reusable interaction systems, and research-driven product direction. Drive discovery, prototyping, design system stewardship, and cross-functional collaboration with Product and Engineering to deliver model-evaluation, scoring, risk-profiling, and certification workflows for technical and executive users.

Lead product strategy and roadmap for AI Ready Data capabilities—data ingestion, transformation, enrichment, synthetic data, and tooling for retrieval, fine-tuning, evaluation, and agent workflows. Write product specs, partner with engineering, research, design, and GTM, translate experiments into scalable features, work with customers to surface requirements, and define success metrics to monitor adoption and performance.

The Enterprise Account Executive is responsible for generating new business, managing customer relationships, and leveraging AI solutions across various sectors to drive sales and growth.

Embed with client teams to productionize AI: design data pipelines and retrieval frameworks, fine-tune and deploy LLMs and agentic workflows, containerize and orchestrate across cloud and on-prem, optimize inference and monitoring, and codify deployment best practices to scale trustworthy, explainable AI solutions.

Lead and hands-on manage Seekr's AI infrastructure: design, build, and scale Kubernetes-based systems across cloud, on-prem, and edge; mentor engineers; automate operations; handle incidents and security; collaborate with software teams to ensure reliability, performance, and observability.

The Director will build and execute Seekr's global channel and partnership strategy, focusing on VARs, hyperscalers, and infrastructure partners, while managing a team to drive enterprise adoption and partner-sourced revenue.

The AI Engineer/Research Scientist will develop explainability and contestability features for AI systems, ensuring outputs are understandable, reliable, and continually improved based on user feedback and evaluations.