Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 70.000 to 75.000€ Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you design the AI architecture, develop data pipelines using Apache Kafka, and optimize classification pipelines applying quantitative metrics. You collaborate closely with Data Scientists.
Job Technologies
Your role in the team
- Design and develop the foundations of our AI Architecture.
- Help to define data collection and modeling frameworks.
- Implement, maintain and improve classification pipelines and inference for AI Models.
- Improve application performance using quantitative metrics and business KPIs.
- Designing scalable, automated data pipelines using tools like Apache Kafka.
- Explore and implement solutions to classification problems in cooperation with Data Scientists.
- Working collaboratively with other AI Engineering teams in cross product efforts.
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Our expectations of you
Qualifications
- Knowledge of AI / ML fundamentals and model optimization techniques.
- Understanding of NLP, LLMs, RAG, and embedding models.
- Knowledge of MLOps, LLM evaluation, and model lifecycle management.
- Understanding of responsible AI, security, and compliance in production systems including AWS guardrails and response style tuning.
- Schnelles Denken und Handeln mit minimaler oder keiner Aufsicht.
- Self-driven, independent, creative, and eager to learn new skills.
- Ability to work effectively with incomplete information.
- Great communication skills.
Experience
- 2+ years as an AI Engineer or equivalent experience.
- Experience in distributed event streaming platforms (Apache Kafka).
- Experience building backend services in a strongly typed language (Rust, Scala, Go, or similar).
- Experience with cloud infrastructure (AWS) and CI/CD pipelines for deploying and maintaining backend services.
- Experience working on highly concurrent backend systems with durable state and fault tolerance.
- Preferably experience with graph databases (Neo4j, AWS Neptune).
- Experience with and desire to work for an asynchronous, remote, and global team.
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What we offer
- The salary range is EUR €70,000- €75,000.
- The above range is based on a wide array of factors unique to each candidate including, but not limited to, skill set, years and depth of experience, certifications and specific office location.
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Radancy
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Description
- Working Model
- Full Remote, Onsite
AI Engineer
- Salary
- 70.000 to 75.000€ Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
