AI Research Engineer: Prototyping to Production

Hornetsecurity GmbH; Germany (OH); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Be-Active Bonus

Temporary Employee Exchange Program

Referral Bonus

Job summary

A global cybersecurity firm is seeking an AI Research Engineer to design, develop, and deploy innovative AI-driven services. You'll have end-to-end ownership of AI solutions, working closely with teams to implement robust systems. The ideal candidate has 3+ years of AI research experience, proficiency in Go and Python, and a strong background in cloud-native architectures. This role offers hybrid work options, personal development opportunities, and a referral bonus for successful hires.

Qualifications

• At least 3 years of experience in backend development or AI in production.
• Solid experience with cloud-native architectures.
• Excellent communication skills, both written and spoken.

Responsibilities

• Design, develop, and maintain AI services from prototype to production.
• Ensure performance, scalability, and reliability in operational settings.
• Document results and propose innovative solutions to cybersecurity challenges.

Skills

Go

Python

AI/ML/NLP

Communication skills

Problem-solving

Tools

Docker

Kubernetes

CI/CD

Job description

Intro

We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation, and production deployment of innovative AI-driven services (LLMs, autonomous agents, automation, NLP, analytics services, etc.).

You will be involved in the entire project lifecycle, from ideation and prototyping to production deployment, while actively contributing to the applied research initiatives of the Security Lab. You will work closely with multidisciplinary teams to turn ambitious ideas into concrete, robust, and scalable AI solutions in an environment that encourages continuous innovation.

Your Job

End-to-End Ownership of AI Solutions

• Design, develop, and maintain AI services from prototype to production.
• Ensure robustness, performance, scalability, and operational reliability of solutions in industrial settings.
• Methodically test and benchmark AI models (standards, metrics, comparisons).
• Document results and propose innovative solutions tailored to cybersecurity challenges.

Innovation & Technology Watch

• Maintain active and structured monitoring of advances in AI/ML, LLMs, agents, NLP, as well as DevOps and MLOps best practices.
• Anticipate technological developments and contribute to the technical roadmap.

Technical Leadership, Documentation & Collaboration

• Be a key contributor to technical quality, knowledge sharing, and internal communication.
• Produce clear documentation and provide technical support to teams.

Your Profile

• Applied AI research engineer with at least 3 years of experience in backend development or AI in production.
• Strong command of Go (microservices, REST/gRPC, high performance) and Python for AI/ML.
• Solid experience with cloud-native architectures: Docker, Kubernetes, CI/CD, observability, distributed systems, and real-time services.
• AI/ML/NLP skills: LLMs, embeddings, classification, text generation, model evaluation; familiarity with MLOps is a plus.
• Proven ability to design, optimize, and deploy scalable AI services in production; experience in deploying AI prototypes is highly valued.
• Scientific curiosity, autonomy, rigor, and strong teamwork skills.
• Excellent communication skills, documentation abilities, and the capacity to simplify complex topics.
• Professional fluency in English, both written and spoken.
• Hybrid home-office options and flexible, trust-based working hours.
• Be part of a growing global company in one of the most dynamic industries — cybersecurity.
• Short decision-making paths and flat hierarchies within an open and collaborative work environment.
• Opportunities for personal and professional development.
• Be-Active Bonus — financial support for fitness and sports club memberships.
• Temporary Employee Exchange Program — opportunities to work at international office locations (e.g. Malta, Madrid, Montreal, Washington, D.C.).
• Referral Bonus — €1,500 for each successful referral.

Your application form

Facebook This field is for validation purposes and should be left unchanged.

Name (Required)

Last Name (Required)

Email Address (Required)

Confirm Email (Required)

Telephone Number (Required)

This field is hidden when viewing the form

This field is hidden when viewing the form Birthday MM slash DD slash YYYY

Application Papers (Required) Drop files here or Max. file size: 128 MB, Max. files: 3.

LinkedIN Link

Video Link

Salary Expectations (Required)

Available from (Required) MM slash DD slash YYYY

How did you find us? (Required)

Message to us

Talentpool

I hereby declare my consent for Hornetsecurity to upload, store and archive my attached personal data and application documents in its talent-pool.

Yes, I have read the Privacy Policy . Application documents/applicant data will only be transmitted if a check mark has been placed here.

Julia Klein (Team Lead Recruiting) and our Recruiting Team are excited to get to know you!

Simply apply proactively and convince us of your abilities!

Hornetsecurityis a leading global provider of next-generation cloud-based security, compliance, backup, and security awareness solutions that help companies and organisations of all sizes around the world. Its flagship product, 365 Total Protection, is the most comprehensive cloud security solution for Microsoft 365 on the market. Driven by innovation and cybersecurity excellence, Hornetsecurity is building a safer digital future and sustainable security cultures with its award-winning portfolio. Hornetsecurity operates in more than 120 countries through its international distribution network of 12,000+ channel partners and MSPs. Its premium services are used by more than 125,000 customers.

If your techs touch 5 portals to answer one customer question, you've already lost margin.…

Even with modern tooling, managing identities across multiple customers can still feel disorganized, everything technically…