AI Engineer | Senior

Posted 4 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
67K-67K Annually
Senior level
Artificial Intelligence • Enterprise Web • Security • Automation
The Role
Lead AI/ML research and product work: prototype and build production-grade, scalable AI systems; evaluate LLMs; implement context, memory, retrieval and agentic solutions; collaborate with PMs and cross-functional teams; promote GenAI adoption.
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 delivering AI/ML projects in production
  • Professional expertise building production-grade applications
  • Designing, executing, and maintaining scalable AI systems
  • Vast experience with AI developer frameworks and tooling
  • Solid understanding of large language models, embeddings, and multimodality
  • Expertise in context engineering and deployed evaluations
  • Understanding of software engineering best practices
  • Experience developing POCs and MVPs under microservice architectures
  • Sense of ownership, accountability, and strong execution focus
  • Experience building complex agentic systems and tools
  • 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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