Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this role, you will develop cloud-native backend services to automate recruiting workflows, implement AI systems, and ensure their operation and scalability in the cloud.
Job Technologies
Your role in the team
- Architect, build, and operate cloud-native backend services that power AI-driven recruiter workflows.
- Design and implement agentic AI systems using frameworks such as Google ADK, LangGraph, or similar, building multi-step reasoning loops, tool-use pipelines, and agent-to-agent (A2A) communication patterns for production recruiter automation.
- Build, deploy, and maintain MCP servers to expose backend capabilities as structured tool endpoints consumable by AI agents, ensuring schema correctness, session management, and tenant-safe execution.
- Design and deploy scalable AI/LLM services using containerization and orchestration technologies in cloud environments.
- Integrate LLM APIs, embedding services, and ML inference endpoints into distributed systems with strong API design, versioning, and fault tolerance.
- Implement asynchronous processing, event-driven architectures and durable state management for AI workflow orchestration.
- Build and maintain CI/CD pipelines to automate testing, deployment, and monitoring of AI-enabled services.
- Establish observability practices (metrics, tracing, logging, alerting) to monitor model performance, latency, cost, and reliability in production.
- Optimize inference workloads for performance, scalability, and cost efficiency, including autoscaling and concurrency management.
- Partner with Data Science to bring models to production, implement evaluation pipelines, and support model lifecycle management.
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Our expectations of you
Qualifications
- Strong proficiency in a strongly typed language such as Scala, Java, or similar strongly preferred.
- Vertrautheit mit Model Context Protocol (MCP) oder ähnlichen Standards für Tool-Serving.
- Practical understanding of NLP, LLM behavior, prompt design, retrieval-augmented generation (RAG), and structured output patterns.
- Vertrautheit mit CI/CD-Pipelines, Infrastructure-as-Code (Terraform oder ähnliches) und automatisierten Deployment-Workflows.
- Understanding model evaluation, monitoring, drift detection, and AI system observability in production environments.
- Awareness of responsible AI practices, data security, and compliance considerations when deploying AI systems at an enterprise scale.
- 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
- 5+ years of experience building and operating production backend systems, with hands-on exposure to AI/ML-powered applications preferred.
- Experience integrating LLM APIs, embedding models, or ML inference services into distributed systems.
- Experience building or consuming agent frameworks (e.g., Google ADK, LangGraph, or AutoGen) to orchestrate multi-step, tool-using AI agents in production environments.
- Experience deploying and scaling AI-enabled services in AWS/GCP cloud environments.
- Hands-on experience with containerization and orchestration (Docker, Kubernetes).
- Experience designing highly concurrent, fault-tolerant systems using async processing, queues, pub/sub, or event-driven architectures.
- Experience with and desire to work for an asynchronous, remote, and global team.
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Job Locations
Topics that you deal with on the job
This is your employer
Radancy
We are the world's leading provider of recruiting technology, solving the most critical challenges for employers and delivering results that strengthen their businesses. Our recruiting platform is supplemented with enriched data and comprehensive industry knowledge, disrupting the recruiting world and enabling our customers to engage with top candidates and win them over.
Description
- Working Model
- Full Remote, Onsite
Senior Software Engineer
- Location
- Vienna
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
