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About Us
Radancy is the global leader in talent acquisition software, helping enterprises worldwide transform their hiring through our AI‑powered platform. As an 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.
Role and Responsibilities
Radancy is the global leader in talent acquisition software, helping enterprises worldwide transform their hiring through our AI‑powered platform. As an 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.
Role and Responsibilities
- Design, develop, and deploy AI Agents to streamline recruiter workflows, from sourcing qualified candidates through evaluation
- Build and fine-tune machine learning and LLM-based models for reasoning, classification, prediction, and task execution
- Integrate AI Agents with other business systems and enterprise customer data
- Help to define data collection and modeling frameworks
- Implement agent orchestration, memory, tool-use, and feedback loops to ensure reliability and scalability
- Evaluate model performance using quantitative metrics and business KPIs
- Coordinating and working closely with engineering to put models and algorithms into production
- Working collaboratively with other Data Science teams in cross product efforts
- 2+ years as an AI Engineer or equivalent experience
- Experience building backend services in a strongly typed language (Rust, Scala, Go, or similar)
- Knowledge of AI / ML fundamentals and model optimization techniques.
- Understanding of NLP, LLMs, prompt engineering, agent reasoning patterns, RAG, and embedding models
- Experience deploying AI Agents in enterprise environments including speed optimization
- 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
- 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
- Experience with and desire to work for an asynchronous, remote, and global team
Key Skills
Ranked by relevance
ai
aws
machine learning
fault tolerance
scala
cloud
mlops
rust
cicd
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- Posted
- Feb 03, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Vienna
- Company
- Radancy
Industries
Software Development
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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Backend Engineer - Remote
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