AI Engineer (Agentic AI)

Location: Bulgaria, Poland, or Romania; work from the European Union region and a work permit are required.

Company

hirify.global is a global AI-first digital transformation and engineering partner with over 25 years of experience and 5,000 professionals across 16 countries, delivering scalable products, platforms, data-driven solutions, and AI systems.

What you will do

• Build agents for credit, KYC/compliance, document handling, and exception triage.
• Implement multi-role decision patterns using analyst, critic, and guardian roles for high-impact cases.
• Develop model gateways that route requests according to cost, risk, and latency, including self-hosted models where data residency requires them.
• Build MCP tool interfaces that restrict agent actions to permissioned and logged tools.
• Develop Document AI capabilities for OCR, information extraction, PII detection, and masking.
• Build retrieval, context, evaluation, A/B testing, and observability capabilities while collaborating with Foundation and Lab streams to implement AI concepts on target platforms.

Requirements

• Hands-on experience building AI or agent-based solutions and designing or implementing LLM/AI agent workflows.
• Experience with model integration and routing, considering cost, latency, and risk.
• Experience designing controlled, permissioned, logged, and auditable tool interfaces for AI agents; knowledge of MCP or comparable approaches.
• Practical experience with Document AI, including OCR, structured extraction, PII detection, or masking.
• Experience with retrieval architectures using embeddings and vector or lexical search.
• Experience designing evaluation approaches for AI systems, including model or prompt evaluation, and understanding observability requirements for agent behaviour.
• Ability to collaborate across prototype and production-oriented engineering streams.
• Ready to join within 2 weeks.

Nice to have

• Experience with self-hosted models under data residency constraints, knowledge graphs, and multi-agent or multi-role decision patterns.
• Experience with AI applications for credit, KYC, compliance, document processing, or exception management.
• Familiarity with deterministic core banking systems.
• Experience with A/B testing of models or prompts.
• Experience in financial services, leasing, or vendor finance.

Culture & Benefits

• Work within a people-first culture focused on engineering excellence, growth, and knowledge sharing.
• Collaborate with nearly 1,000 CEE experts and international delivery teams.
• Contribute to client-facing AI, data, cloud, and digital product solutions using technologies such as AWS, Azure, GCP, Databricks, and Snowflake.

Hiring process

• CV review, HR call, interview, client interview, and final decision.