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Drive AI-powered product strategy, coordinate with engineering and stakeholders, and manage feature lifecycle from concept to launch for Stratpoint’s clients.
Fully remote hybrid project manager / executive assistant role at a startup building AI PR agents: this person coordinates high-volume AI-assisted content production across teams while directly supporting the CEO with scheduling, meeting prep, and follow-ups. Requires hands-on AI content tooling skills, C1 English, and fluent Ukrainian.
Oversees classified program security, compliance, and personnel clearance processes for government contracts under U.S. regulations (e.g., NISPOM, ICDs). Manages physical/access controls, training, and insider threat programs while assisting the Facility Security Officer (FSO).
Owns the commercial and technical arc of customer AI engagements — translating business problems into requirements, scoping and driving production deployments, and proving ROI — alongside Forward Deployed Engineers on the SeekrFlow agentic AI platform. Core tech: Python, SQL, R, Docker, Kubernetes, Helm; 25-50% travel.
Designs explainable AI platform interfaces for engineers, scientists, and executives, owning end-to-end workflows and reusable UX frameworks in Figma.
Seekr is hiring a Staff AI Engineer/Scientist to develop explainable and trustworthy AI systems for mission-critical applications. The role involves bridging research and production engineering to build capabilities for model interpretability, contestability, and hallucination mitigation.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
Senior Software Engineer building scalable AI products, agents, and tools using Python, Postgres, Docker, Kubernetes, Kafka, and Fast API in a hybrid role based in Austin, TX or Reston, VA.
Seekr is hiring an AI Engineer to develop and deploy generative and predictive AI solutions for US Government customers. The role involves building agentic workflows, fine-tuning LLMs, and creating prototype applications using Python and various AI frameworks.
Leads AI/ML software delivery for government clients, bridging technical (AI/ML, data integration) and business domains to execute Seekr’s explainable AI platform for high-stakes missions.
Build and scale Seekr’s AI platform by designing Kubernetes-based infrastructure, automating deployments with Terraform/Ansible, and operating Postgres/Opensearch clusters across cloud and on-prem.
Design and present explainable AI solutions for U.S. Government customers, translating mission needs into secure, auditable AI architectures and proofs-of-concept.
Write and maintain docs for Seekr’s AI platform and developer tools, covering installation, deployment, APIs, and AI concepts for technical users.
Design and operate Kubernetes-based GPU infrastructure and AI serving platforms for large-scale model training, inference, and autonomous agents using Python, Go, or Rust.
Senior Manual QA Engineer designs and executes test plans for AI-powered platforms, using TestRail, Postman, and AI tools like Claude AI and MCP integrations to validate UI/API quality and mentor junior QA engineers.
Senior Product Designer shaping the translation experience of DeepL Translate, an AI-first translation platform. Day to day: user research, end-to-end product design in Figma, AI-assisted prototyping (Claude Code), design system work, and close collaboration with product managers and engineers from a hybrid London office.
Forward Deployed Engineers embed with clients to deploy production-grade AI systems using SeekrFlow, specializing in LLM fine-tuning, agentic workflows, and Kubernetes-based deployments across cloud/on-prem environments.
Build and refine high-performance, scalable web apps for an AI platform using React, Next.js, and TypeScript, collaborating with ML, backend, and DevOps teams to deploy features rapidly.
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