AI Engineer

Навыки

• AI-агенты
• AI-инструменты в работе
• Azure
• CI/CD
• Databricks
• Дообучение моделей
• Git

О компании и продукте

• We develop and operate a highly data-intensive platform offering analytics, machine learning and agentic AI on cloud environments. As part of continued investment, we are building a cutting-edge AI-native decision-system.
• As an Agentic AI Developer, you will be responsible for designing and developing advanced agentic AI solutions capable of autonomous planning, reasoning, and task execution. developing and integrating Retrieval-Augmented Generation (RAG) pipelines to enhance agents' reasoning capabilities with external knowledge sources, multi-agent communication protocols to enable seamless collaboration and coordination among agents. Collaboration will be key, as you work cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver robust, end-to-end AI solutions
• You will work at the intersection of cutting-edge AI, Data Science and modern software engineering, implementing multi-agent frameworks and orchestrating interactions

Задачи

• Design and implement Agentic AI architectures for enterprise workflows
• Integrate Generative AI capabilities (LLMs, multimodal models) into client solutions
• Deliver end-to-end AI solutions from ideation to production deployment
• Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like LangChain, HuggingFace Transformers, or OpenAI API
• Design prompt templates and implement retrieval strategies to increase answer precision and factuality
• Collaborate with product managers to translate user requirements into technical features
• Participate in error analysis, iterative model improvement, and performance tuning
• Engage with clients to identify high-value AI use cases and define business benefits
• Conduct workshops and assessments to align AI strategies with organisational goals
• Provide thought leadership on AI adoption and emerging trends
• Develop reusable frameworks and accelerators for Agentic AI and GenAI
• Ensure compliance with AI ethics, security, and governance standards
• Stay on top of industry developments in Agentic AI, autonomous agents, and LLM ecosystems
• Orchestrate complex multi-agent workflows to handle tasks requiring planning, reasoning, and tool use
• Extend Microsoft 365 Copilot by building custom plugins and declarative agents within Microsoft Copilot Studio to surface enterprise data in Teams and Office apps
• Operationalize AI solutions using Microsoft AI Foundry for model catalog management, Prompt Flow evaluation, and lifecycle governance
• Architect scalable deployment patterns for agents using Azure Container Apps or Azure Functions, ensuring low-latency responses and cost-effective scaling
• Platforms and interfaces
• Own data flows, APIs, services, model-serving surfaces, front-end and desktop application surfaces, continuous integration and continuous delivery (CI/CD), and demo hardening
• Build the systems that make quantitative work feel polished, reliable, and enterprise-ready for expert users and client stakeholders
• Agent-assisted systems
• Own the agentic harness layer — evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration — that applications and MCPs wrap around
• Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market
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Требования

• Strong experience in Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI)
• Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning)
• Proficiency in Python and familiarity with deep learning/NLP libraries (LangChain, PyTorch, TensorFlow, HuggingFace Transformers)
• Experience with building Q&A systems and retrieval-augmented generation pipelines
• Knowledge of vector databases or semantic search concepts
• Familiarity with cloud AI platforms (eg: Azure AI Foundry)
• Knowledge of MLOps practices and deployment pipelines
• Experience with Git, collaborative development workflows, and cloud infrastructure
• Proficiency in deploying AI workloads to Azure Container Apps (ACA), Azure Kubernetes Service (AKS), Databricks Apps or serverless functions (Azure Functions) for event-driven agent triggers
• Experience implementing RAG using Azure AI Search (vector, semantic, and hybrid search) or Databricks One
• Bachelor's degree in computer science, engineering, mathematics, physics, economics, or a related field
• Minimum 3 years of experience in technical delivery roles, with experience in moving products, internal tools, or workflow systems beyond proof-of-concept stage
• Minimum 3 years of hands-on experience in one or more of the following areas: backend services, APIs and integrations, full-stack delivery, data pipelines, model-serving or machine learning workflows, or agentic orchestration systems
• Strong coding ability in Python plus one complementary engineering surface such as TypeScript or JavaScript, front-end delivery, cloud or platform engineering, or infrastructure automation
• Sound engineering judgment around enterprise hardening and evaluation, including experience with several of the following: authentication, role-based access control (RBAC), observability, security, release discipline, regression testing, or experiment frameworks for AI, machine learning, or agentic workflows
• LI-YG1 #Hybryd
• This information reflects Brightstar Lottery’s good-faith estimate of compensation for this position at the time of publication
• Factors that we consider include, but are not limited to, role, career level, performance, skills, level of expertise, experience, location, market competitiveness, and internal equity
• The estimated starting compensation range is € 41.586 – € 63.979
• The Company will comply with all local pay requirements and collective bargaining agreements, where applicable
• In addition to base salary, employees may be eligible for an annual performance-based bonus with a set target (% of salary) aligned with individual and company performance
• Eligibility and payout may be prorated based on date of hire and service during the performance period or sales commission
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Условия

• Paid time off
• Health insurance, life insurance, and disability insurance
• Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
• Variety of well-being programs
• Retirement benefits including Supplementary Pension
• Additional benefits available depending on the seniority of the role
• Mobility
• Meal Vouchers
• This position is governed by collective bargaining agreement, which regulates the main terms and conditions of employment, including minimum salary levels, classification, working hours, leave, and other employment rights
• Our hiring process is conducted in line with principles of pay transparency and equal pay
• We do not request or rely on candidates’ salary history during the selection process
• All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate
• We have a longstanding commitment to Responsible Gaming (RG) that is engrained within our core business and the products we offer to customers and players worldwide
• Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility
• Brightstar has approximately 6,000 employees
• For more information, please visit www.brightstarlottery.com
• Actual compensation will be determined in accordance with the applicable collective agreement and internal compensation policies

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