AI Engineer (iGaming)

Location: Fully remote or from a modern office; relocation opportunities to countries where the company has offices may be available after the probation period, subject to approval.

Company

hirify.global develops large-scale products, including player chat and help-center solutions.

What you will do

• Design and build a Java-based LLM service with a unified API for multiple products.
• Develop knowledge-base ingestion pipelines with source parsing, chunking, embeddings, incremental reindexing, and data versioning.
• Build and optimize RAG, semantic-search, hybrid retrieval, reranking, multilingual queries, and source-grounded responses with citations.
• Implement LLM guardrails for prompt injection, PII protection, approved-source grounding, responsible gambling, identity verification, and payments.
• Integrate the assistant with internal services through tool calling and structured outputs, including handoff to human support agents.
• Build evaluation and observability systems while optimizing latency, model selection, caching, token usage, and production quality metrics.

Requirements

• 4+ years of backend development experience with Java, including Java 17+, Spring Boot, REST/gRPC, Kafka or RabbitMQ, PostgreSQL, Redis, Docker, and Kubernetes.
• Experience shipping at least one LLM-powered application to production with real users, and discussing its architecture, traffic, and quality metrics.
• Hands-on experience building RAG systems, including chunking strategies, embedding-model selection, hybrid retrieval, and reranking.
• Ability to diagnose LLM response-quality issues and distinguish retrieval failures, prompt-related problems, and model limitations.
• Experience with vector databases or search engines such as pgvector, Qdrant, OpenSearch/Elasticsearch kNN, or equivalent technologies.
• Experience integrating LLM provider APIs, including function/tool calling, structured outputs, streaming, retries, model fallbacks, and rate limiting.
• Experience evaluating LLM systems with quantitative metrics and automated frameworks such as Ragas, promptfoo, DeepEval, or custom evaluation datasets.
• Strong software-engineering practices, including automated testing, CI/CD, code reviews, logging, monitoring, and ownership of production services.

Nice to have

• Spring AI or LangChain4j experience, plus familiarity with Python frameworks such as LangChain or LlamaIndex and the ability to adapt their approaches to Java.
• Experience with LLM observability tools such as Langfuse, Arize Phoenix, or OpenTelemetry.
• Experience with semantic caching, LLM inference-cost optimization, multilingual AI assistants, and knowledge-base search systems.
• Experience in iGaming, betting, FinTech, or customer-support automation, including industry-specific compliance requirements.

Culture & Benefits

• Flexible work environment based on autonomy, ownership, trust, and no micromanagement.
• Fully remote work or access to a modern office.
• Medical insurance in countries where the company operates.
• Annual $2,000 benefits allowance after the probation period for health-insurance upgrades, language learning, and sports activities.
• Partial reimbursement for professional training, courses, and industry conferences, plus access to a corporate digital library.
• Company-funded weekly online psychologist sessions and relocation assistance after the probation period, subject to approval.