First seen by Alion on Nov 5, 2026.
EGT Digital is a leading technology provider for the global iGaming industry. It delivers scalable, secure solutions, including original casino games, the customizable X-Nave iGaming platform with sportsbook, gaming aggregation, CRM and payment capabilities, as well as retail products. In an industry that never stands still, the team doesn’t stand still either. Progress comes through innovation and ideas. That’s why iGaming Department is growing and looking for motivated people ready to learn, evolve and thrive as part of the team.
The iGaming Department focuses on platform solutions that help operators manage and grow their businesses across regulated markets. Our work centers on X-Nave, EGT Digital’s modular iGaming platform, which brings together the Sportsbook, Gaming Aggregator, CRM Engine and Payment Gateway. Each solution can operate independently or as part of an integrated ecosystem, offering the flexibility to meet different business needs. By bringing together product expertise, technical knowledge and a collaborative mindset, our teams continuously enhance the platform, strengthen the connections between its components and turn complex challenges into opportunities for innovation. It’s an environment where expertise is valued, new ideas are encouraged and every contribution helps shape the future of our technology
The role
You will build the applications that sit on top of our language models: agentic workflows, tool integrations and retrieval. You will also own the quality bar – from evaluation design to the release gates that decide whether a feature ships.
Responsibilities
- Build agentic features end to end: tool contracts, routing, memory, streaming, retries and fallbacks, human approval gates
- Build and maintain tool integrations for internal systems, with per-user permissions and tight context discipline
- Design retrieval properly: ingestion, chunking, embeddings, hybrid search, reranking, metadata filters, freshness
- Own prompt and behavior control: versioned prompts with rollback, personas, output contracts, guardrails
- Own LLM evaluation: golden sets, automated judges, regression gates in CI, quality dashboards
- Ship the Python services behind it – asynchronous APIs, streaming responses, tested and documented
- Treat every tool response and retrieved document as untrusted input: prompt injection, taint, least privilege, sandboxing
Requirements
- 5+ years building production Python services and APIs – not notebooks
- Hands-on LLM application work in production: tool calling, agent loops, retrieval and prompt systems, with users who complained
- Strong retrieval fundamentals, and the ability to measure retrieval quality
- Real evaluation practice: you have built a golden set or an automated judge and used it to block a release
- Enough transformer understanding to debug behaviour and cost – context limits, sampling, KV cache
- PostgreSQL plus a vector database (Qdrant, pgvector, Weaviate, Milvus) and Redis; Docker, tests, CI, code review
Preferred Qualifications
- Model Context Protocol, or deep knowledge of another tool protocol or agent runtime
- Reranker and hybrid-search tuning, with measured retrieval gains
- LoRA or QLoRA supervised fine-tuning with a before-and-after evaluation
- Speech, OCR or document pipelines (Whisper, PDF and DOCX extraction)
- Enough frontend to ship your own feature end to end (Next.js or React)
Technical Stack
- Application: Python, Flask, FastAPI.
- Retrieval: a vector database (Qdrant, pgvector), embeddings, rerankers
- Data: PostgreSQL, Redis, MongoDB, ClickHouse
- Models: internal LLM APIs, OpenAI-compatible
- Operations: Docker, systemd, nginx, Prometheus
- Frontend, when needed: Next.js, React
What we offer
- Competitive salary
- Performance evaluation
- 25 days paid annual leave
- Flexible working schedule
- Additional health insurance – premium package
- Fully paid annual transportation card
- Fully paid Sports card
- Free company shuttle by the office
- Sports Teams & sports events
- Professional development
- Team building events and office parties
- Referral Program
- Free snacks, soft drinks, coffee, and fruit – always available
- Newborn baby bonus
- Corporate discounts in various shops and restaurants
- State-of-the-art modern office
Thanks for taking the time to apply! Your application will be kept fully confidential – we’ll reach out personally if you’re shortlisted for an interview.

