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Artificial Intelligence (AI) Engineer

Job Title: Artificial Intelligence (AI) Engineer

Location: Malta / Hybrid – 3 office days per week

About Us

Since 2006, NetBet has delivered the ultimate online casino and sportsbook experience for its players across the globe. Alongside sports betting and casino, players have also enjoyed Lotto, Live Casino, and Poker products. With access to multiple languages across all its registered markets, thousands of industry-leading casino games, and daily sports events, NetBet has evolved into one of the world’s favourite online gaming brands. NetBet provides users with a friendly environment, total security, and reliable navigation. Its features are recognised by flagship organisations specialising in regulating and controlling online gaming sites. To enrich player trust and protection NetBet has several gaming licences from across the world including MGA, UK, Denmark, Greece, France, Romania, and Italy. This ensures that NetBet operates in line with the rules and regulations of each jurisdiction and that players receive the best possible service.

About the Role

This role is responsible for designing, building, and deploying intelligent AI agents and generative AI systems that solve real business problems. You will move beyond promp optimization into full AI solution architecture – combining LLM orchestration, agent frameworks, backend development, and production deployment.

Duties and Responsibilities:

Design and Build AI Agents:

  • Architect and implement autonomous and semi-autonomous AI agents capable of reasoning, planning, tool usage, and multi-step task execution.
  • Design agent workflows using frameworks such as LangChain, LangGraph, or similar orchestration tools.
  • Implement memory systems, retrieval pipelines, and tool integrations.

Develop Production-Ready AI Systems:

  • Build robust Python-based backend services that integrate with LLM APIs and internal systems.
  • Develop scalable architectures for AI features (REST APIs, microservices, serverless functions).
  • Ensure reliability, performance, observability, and cost optimization of AI services.

Orchestrate LLM Workflows:

  • Design complex prompt chains and structured output pipelines.
  • Implement RAG (Retrieval-Augmented Generation) systems using vector databases.
  • Create evaluation frameworks to measure model performance, hallucination rate, and business impact.

Integrate and Collaborate:

  • Work closely with Product teams to translate business problems into AI-driven solutions.
  • Collaborate with Engineering to deploy AI services into production environments.
  • Align AI solutions with compliance, safety, and governance standards.

Drive AI Innovation:

  • Stay at the forefront of LLM advancements, agentic architectures, and emerging AI tooling.
  • Prototype and test new approaches to improve automation, reasoning accuracy, and system intelligence.
  • Continuously improve system performance through experimentation and evaluation.
What You’ll Bring:
 
Hard Skills
 
Must-have:
  • AI Agent Development — Hands-on experience building AI agents with tool usage, memory, and multi-step reasoning.
  • Advanced Python Proficiency — Strong backend development skills including API design, async processing, data pipelines, and integration patterns.
  • LLM Integration — Deep experience integrating OpenAI or similar APIs into production systems.
  • RAG and Vector Databases — Experience implementing semantic search and retrieval pipelines using Pinecone, Weaviate, FAISS, or similar tools.
  • Evaluation and; Testing — Experience designing evaluation loops for LLM outputs, including prompt testing, benchmarking, and guardrail implementation.
Nice-to-have:
  • AI Orchestration Frameworks — LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.
  • Cloud and Deployment — Experience with Docker, Kubernetes, AWS, GCP, or serverless environments.
  • Data Engineering Basics — Handling embeddings, ETL pipelines, and structured/unstructured data transformation.
  • Monitoring and Observability — Experience with logging, tracing, and AI system performance monitoring.
 Soft Skills
 
Must-have:
  • Systems Thinking — Ability to design end-to-end AI solutions, not just isolated prompts.
  • Problem Decomposition — Strong capability to break down complex business problems into agent-based workflows.
  • Technical Communication — Comfort explaining AI architecture decisions to both technical and non-technical stakeholders.
  • Ownership Mentality — Takes responsibility for delivering production-grade, reliable AI systems.
Nice-to-have:
  • Strategic Vision — Understands how AI automation drives measurable business value.
  • Leadership and Mentorship — Ability to guide teams on best practices in AI engineering and agent design.

Behaviours & Commitments:

  • Own it. Take responsibility and follow through.
  • Communicate early. Share progress and risks.
  • Collaborate. Ask for input. Offer help. Give/seek feedback.
  • Keep it simple. Prioritise outcomes over activity
  • Be trustworthy. Protect data and act with integrity.
What We Offer

NetBet recognises the value of exceptional talent and rewards it accordingly. As a NetBet employee based in Malta, you get:

  • The opportunity to be part of a forward-thinking company in the online casino and sports betting industry.
  • A team of dedicated professionals in a supportive, growth-oriented environment.
  • To work on exciting projects that challenge your skills and help you grow
  • Attractive, market-aligned salary package: we offer a compensation package that reflects your experience, skills, and the value you bring to the team.
  • Hybrid working (in office/remote).
  • Private Health Insurance after completing your first 6 months.
  • Employee Wellbeing Program.
  • Learning and Development Programmes.
  • Team-building and Social Engagement Activities to foster a great working environment.
  • Attractive benefits, including coffee, fresh fruit, and snacks.

Commitment to Diversity:
NetBet is dedicated to equality of opportunity for all staff. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage or civil partnerships.

Personal data is processed in accordance with EU GDPR. CVs are retained for 12 months, and we may contact you regarding other suitable roles during this period.