Senior AI Software Engineer – Backend (Genesys Cloud Copilot)

Location: Budapest (Flexible), Hungary

Company

hirify.global builds AI-powered experience orchestration technology connecting people, systems, data and AI for more than 8,000 organizations in over 100 countries.

What you will do

• Design, build, test, deploy, operate and support backend capabilities for hirify.global Cloud Copilot, including on-call responsibilities.
• Build AI agents that plan, call tools, request user confirmation and manage model context.
• Improve the framework, documentation and tooling used by other hirify.global teams to build agents and tools, including design and code reviews.
• Integrate Copilot with hirify.global Cloud services and user interfaces through APIs and events.
• Create automated tests and LLM evaluations, using results to guide model and prompt changes.
• Improve reliability, latency, model cost efficiency, monitoring, security, privacy and regulatory compliance as usage grows.

Requirements

• Bachelor’s degree in computer science or equivalent experience.
• 5+ years of backend or platform software development experience, with strong ownership of production services.
• Proficiency in Python or other programming languages, with solid foundations in algorithms, data structures and distributed systems design.
• Experience with service and event-driven architectures, including REST, WebSockets, Kafka, schema evolution, idempotency, backward-compatible APIs and data modelling.
• Experience with AWS, including Lambda, API Gateway, DynamoDB, S3, IAM and KMS.
• Experience with modern DevOps/SRE practices, including CI/CD, infrastructure as code using CloudFormation or Serverless Framework, automated testing, observability, runbooks and on-call.
• Strong communication skills, including the ability to align with Product and explain complex ideas simply.
• Growth mindset, healthy pragmatism, bias to action and effective use of AI coding tools in development work.

Nice to have

• Experience or interest in learning agent frameworks such as Strands Agents or LangGraph and foundation models on AWS Bedrock, including Anthropic Claude.
• Hands-on LLM experience with tool calling, prompt and context management, retrieval, evaluation and guardrails.
• Experience with Model Context Protocol servers, clients or tooling.
• Experience with LLM-as-judge scoring, simulated users, CI-based evaluations and model cost and latency trade-offs.
• Experience with retrieval-augmented generation and multilingual knowledge search.
• Experience with observability at scale, including metrics, traces, logs, SLOs and error budgets.
• Experience with enterprise software security, privacy and governance, including GDPR and FedRAMP.

Culture & Benefits

• Flexible ways of working within a global team.
• Mentorship, learning programs, leadership development and education support.
• Paid volunteer time, August Free Fridays and well-being resources.
• Regionally tailored programs for employees and their families.
• Diverse and inclusive workplace with equal opportunity commitments.

Hiring process

• Application review by Talent Acquisition and the hiring team.
• Zoom interview followed by meetings with the hiring manager and interview team.
• Usually no more than five interviews, followed by final-step communication.