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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.
Job Responsibility:
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:
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)
Knowledge of AI / ML fundamentals and model optimization techniques
Knowledge of NLP, LLMs, RAG, and embedding models
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
Experience with graph databases (Neo4j, AWS Neptune)
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