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Seekr

AI-driven reliability scoring of online content

Forward Deployed Engineer - Fullstack

AI Application Engineering +1Updated on Nov 10
Full-time

About the Job

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or Data Science; an advanced degree is a plus.
  • At least 6 years of experience in software, platform, or infrastructure engineering, including deploying and operating production systems in customer or enterprise environments.
  • Hands-on experience deploying containerized applications to Kubernetes across multiple cloud providers and on-premises environments, including Docker and Helm for packaging, configuration, and release.
  • Experience designing, deploying, and maintaining production-grade agentic AI systems that meet enterprise security, compliance, and performance standards.
  • Experience with monitoring, logging, and observability frameworks for deployed AI/ML systems, such as Prometheus, OpenTelemetry, Grafana, or Logfire.
  • Experience with CI/CD pipelines, version control such as GitHub or GitLab, and infrastructure as code such as Terraform or CloudFormation.
  • Hands-on expertise with AI/ML and large language model frameworks such as PyTorch, Hugging Face, LangChain, or vLLM, including model fine-tuning and agent deployment.
  • Proficiency in at least one modern programming language, such as Python, Java, C++, TypeScript, or JavaScript.
  • Ability to work directly with client stakeholders, including technical teams, business leaders, and end users, to translate needs into deployed solutions.
  • Willingness to travel 25–50%, depending on client and team needs.
  • Applicants must be U.S. citizens, lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain required U.S. Department of State or Department of Commerce authorizations.

Responsibilities

  • Operationalize AI proofs of concept by transforming demos and prototypes into robust, production-grade AI systems.
  • Deploy SeekrFlow and agent applications into customer-managed environments, containerizing and orchestrating them across cloud, hybrid, and on-premises deployments, including AWS, Azure, GCP, and private cloud.
  • Package, configure, and release SeekrFlow containerized microservices into customer Kubernetes clusters using Docker and Helm, and manage versioned upgrades and rollbacks.
  • Configure platform authorization and identity, including SSO (SAML/OIDC) and service-to-service authentication.
  • Design and deploy data pipelines and retrieval frameworks that prepare enterprise data for LLM training, fine-tuning, and RAG-based applications.
  • Fine-tune, evaluate, and deploy large language models and agentic workflows, ensuring outputs remain grounded, explainable, and compliant.
  • Codify best practices into reusable playbooks, evaluation frameworks, and deployment accelerators that scale AI adoption across industries.
  • Own high-impact client projects from start to finish while working in small teams.
  • Work directly alongside client teams to address their technical and operational problems.

Desired Qualifications

  • Familiarity with graph databases and graph languages such as Neo4j, AGE, SPARQL, or Cypher.
  • Familiarity with vector databases, retrieval-augmented generation architectures, and enterprise data integration patterns.
  • Background in responsible AI practices and familiarity with Trustworthy AI principles.
  • Experience building custom client-facing applications or agentic workflows from prototype to scalable deployment.
  • Familiarity with front-end frameworks such as React and ability to build application front ends.
  • Ability to present complex technical concepts clearly to diverse audiences.

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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