Senior AI Engineer

Radancy

Wien, Austria

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

devjobs.at

Tech stack

Artificial Intelligence Amazon Web Services Application Performance Management Cloud Computing Fault Tolerance Graph Database Neo4j Software Product Management Software Engineering Large Language Models IT Architecture Backend

+3 more

Apache Kafka Machine Learning Operations Data Pipelines

Job description

Radancy is the global leader in talent acquisition software, helping enterprises worldwide transform their hiring through our AI-powered platform.
As a Senior AI Engineer on our AI Product & Engineering Team, you’ll help create new AI solutions that connect leading brands with top talent.
Your creative problem-solving will enhance our platform’s impact while accelerating your professional growth.
Design and develop the foundations of our AI Architecture.
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.

Requirements

Knowledge of AI / ML fundamentals and model optimization techniques.
Knowledge 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.
Quick thinking and acting with minimal/no supervision.
Self-driven, independent, creative, and eager to learn new skills.
Ability to work effectively with incomplete information.
Great communication skills., * 3+ years as an AI Engineer or equivalent experience.
Strong background in Software Engineering 5+ years of experience or equivalent.
Experience with 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.
Experience with graph databases (Neo4j, AWS Neptune).
Experience with and desire to work for an asynchronous, remote, and global team.