Senior AI Engineer

Posted Yesterday
Be an Early Applicant
2 Locations
Hybrid
67K-67K Annually
Senior level
Artificial Intelligence • Enterprise Web • Security • Automation
The Role
Lead AI/ML innovation and build production-grade, scalable AI systems. Evaluate and integrate LLMs and AI tooling, prototype POCs, contribute across product discovery and delivery, and implement context, retrieval, memory, and agentic solutions.
Summary Generated by Built In

Join the AI revolution. We’re building an all-in-one AI platform to help teams do their best work and automate every routine task you can think of. We’re looking for problem-solvers to turn powerful AI into an easy, no-code tool for teams everywhere.

 

Main Responsibilities

 
  • Lead AI/ML innovations - from coming up with ideas for research, POCs, to contributing to full product feature build out.

  • Act as GenAI expert - live and breathe AI field news and trends.

  • Hands-on work trying out new concepts, AI frameworks and tooling around them for different use cases - context management, memory, retrieval, agentic loop, A2A and many other solutions.

  • Be part of product development - from discovery together with PMs to delivery within cross-functional teams.

  • Evaluate new LLMs (proprietary and OSS), and assess for performance, cost, and other metrics.

  • Bonus: act as AI evangelist to promote the adoption and understanding of AI both within and outside nexos.ai.

     

Core Requirements

 
  • Strong record of work on AI/ML projects in production.

  • Professional expertise in building production grade applications; designing, executing, and maintaining scalable AI systems.

  • Vast experience using different AI developer frameworks and tooling.

  • Solid understanding of large langauge models, embeddings, multimodality, and different AI architectures

  • Expertise in context engineering and deployed evaluations.

  • Sense of ownership and accountability, capable of planning your work effectively.

  • Get Things Done attitude, mixed with a creative approach when needed.

  • Understanding of software engineering best practices and developing POCs and MVPs under microservice architectures

     

Bonus Point For

 
  • Experience building complex Agentic systems and tools powering them.

  • Deep expertise in data science methodologies, ML algorithms, and NLP techniques.

 

Salary Ranges

  • Gross salary from 5600 EUR/Month (final compensation depends on exact experience)

What We Offer

  • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach your full potential.

  • Health benefits. Private health insurance, online & on-site workouts (LT) / online workouts & sports access card (PL), consultations - to feel and be your best.

  • Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts - and it's on us.

  • More free time. Stay with us and additional vacation days will be added to your calendar.

  • Additional paid leave. Additional days are covered by us in cases of illness or special occasions.

  • Flexibility. Flexible working time arrangement.

Skills Required

  • Strong record of work on AI/ML projects in production
  • Professional expertise in building production grade applications and maintaining scalable AI systems
  • Vast experience using different AI developer frameworks and tooling
  • Solid understanding of large language models, embeddings, multimodality, and different AI architectures
  • Expertise in context engineering and deployed evaluations
  • Understanding of software engineering best practices and developing POCs and MVPs under microservice architectures
  • Get Things Done attitude with ownership and accountability
  • Experience building complex agentic systems and tools powering them
  • Deep expertise in data science methodologies, ML algorithms, and NLP techniques
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The Company
116 Employees
Year Founded: 2024

What We Do

nexos.ai is an all-in-one AI orchestration platform designed to drive secure, organization-wide AI adoption. It provides a unified interface via an AI Workspace and AI Gateway, allowing enterprises to integrate and manage multiple leading AI models, build no-code AI agents, and automate complex workflows. The platform emphasizes security and compliance through built-in guardrails, full visibility, and flexible access controls across the AI ecosystem.

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