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nexos.ai

Secure AI workspace & gateway platform

Senior AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time€5k - €7.8k /moHybrid

About the Job

Requirements

  • A strong record of work on AI/ML projects in production.
  • Professional expertise in building production-grade applications and designing, executing, and maintaining scalable AI systems.
  • Extensive experience using different AI developer frameworks and tooling.
  • A solid understanding of large language models, embeddings, multimodality, and different AI architectures.
  • Expertise in context engineering and deployed evaluations.
  • The ability to plan work effectively and demonstrate ownership and accountability.
  • Understanding of software engineering best practices and developing proofs of concept and minimum viable products under microservice architectures.

Responsibilities

  • Lead AI/ML innovations, from developing research ideas and proofs of concept to contributing to full product feature build-out.
  • Serve as a generative AI expert by staying current with AI field news and trends.
  • Experiment hands-on with new concepts, AI frameworks, and related tooling for use cases including context management, memory, retrieval, agentic loops, and agent-to-agent solutions.
  • Contribute to product development from discovery with product managers through delivery within cross-functional teams.
  • Evaluate proprietary and open-source large language models for performance, cost, and other metrics.

Desired Qualifications

  • Act as an AI evangelist to promote the adoption and understanding of AI within and outside nexos.ai.
  • Experience building complex agentic systems and the tools that power them.
  • Deep expertise in data science methodologies, machine learning algorithms, and natural language processing techniques.

About the Company

nexos.ai

Secure AI workspace & gateway platform

Nexos.ai provides an enterprise AI platform that sits between employees and AI systems as a secure AI Workspace and AI Gateway, giving a single control layer to access about 200 models with security, cost, compliance, and private-model support. It acts as middleware, centralizing authentication, policy enforcement, and monitoring while routing requests to approved models and supporting private/on-premise models to prevent data leaks. Its differentiator is a governance-first approach for enterprises, combining a large model catalog with strong policy, cost controls, and private-model capabilities, backed by Nord Security / Tesonet founders. The goal is to help organizations adopt and scale LLMs safely and efficiently with an auditable, cost-conscious AI access layer that meets compliance in Europe and North America.

Company size
51-200
Company stage
Series A
Total funding
$41M
Headquarters
Vilnius, Lithuania
Founded
2024

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