Title: Senior AI Engineer Location: Brisbane QSD Australia Work Type: Hybrid, Full Time Job ID: 101226 Job Description: Could this be one of those rare moments to do the best work of your career? The Lottery Corporation is Australia's largest lottery company offering exciting games that deliver life-changing wins to customers and make a meaningful difference in the community. We're the team who bring you Australia's favourite lottery and Keno games. For more than a century, we've been playing our role in creating positive impacts by delivering winning moments every day to our people, our customers, retailers, partners and our community. Share joy, spark possibilities and join the winning team today! You'll sit at the heart of our growing AI capability - working across data, engineering and business teams to develop solutions that are both technically robust and commercially valuable. From prototyping new ideas through to deploying scalable solutions, your work will directly contribute to how AI is embedded across the organisation. What you'll do - Design, build and deploy AI and machine learning solutions - Develop and optimise models, pipelines and data workflows - Partner with the AI Technical Lead and stakeholders to bring use cases to life - Translate business needs into scalable technical solutions - Build and test prototypes to validate new ideas quickly - Work with data, engineering and product teams to integrate solutions - Ensure solutions are reliable, secure and aligned to best practice - Contribute to continuous improvement in AI tools, platforms and ways of working What you'll bring - Experience in AI / machine learning / data engineering roles - Hands-on capability with tools such as Python, SQL and modern AI/ML frameworks - Experience building and deploying models in production environments - Strong problem-solving skills and attention to technical detail - Ability to work across technical and non-technical stakeholders - Curiosity and drive to stay ahead of emerging AI technologies - A practical mindset focused on delivering solutions that create value What you'll get Not only will you receive an awesome candidate experience from our caring Talent team, but you'll get a genuine feel for who we are and what it's like to be part of our team. The benefits of working with The Lottery Corporation are pretty good. Just to name a few: - Balance work and life with our 'flex for great outcomes' approach - hybrid working, plus a range of generous leave options. - Reward and recognition programs at all levels. Your hard work won't go unnoticed. - Ignite your potential with our dedicated learning and development platform to support your bright future. - We empower careers to grow from within. 50% of all roles in 2025 were filled by our own people, proving that your next opportunity is already here! - A true sense of belonging. We're committed to Inclusion & Diversity with a range of initiatives such as our Gender Affirmation Support, employee inclusion networks and diversity memberships and celebrations. - Make positive impacts with opportunities to volunteer with our community partners. We'll also dollar match fundraising efforts of our employees lending their support to registered charities. If this role is of interest to you and you're ready to spark possibilities with The Lottery Corporation, but don't feel that your experience aligns 100%, we would still love to hear from you and encourage you to apply. We're committed to providing a safe, respectful and supportive work environment. We encourage you to let us know if we can make any accommodations, so the process can be more user friendly for you. We acknowledge and pay respect to the traditional custodians of the lands on which our offices, retail outlets and venues operate. We acknowledge the inextricable link First Peoples of Australia have with the land past and present. Your online safety is important to us. We'll never request payment or credit card details from you to apply for a position. If you're uncertain whether a job ad is legitimate, verify via our website before providing any details.

Title: AI Engineer - Microsoft Fabric & Azure AI Foundry (Contract) Location: New York City United States Job Description: Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The role We are looking for an experienced AI Engineer to lead the implementation of Azure AI Foundry within an established Microsoft Fabric environment. This role focuses on designing, deploying, and operationalizing enterprise AI capabilities that integrate seamlessly with our existing data platform, governance model, and analytics infrastructure. You will work closely with data engineering, architecture, security, and business stakeholders to build scalable AI solutions using the Microsoft ecosystem. This position is onsite in New York City, 5 days per week. Role responsibilities - Design and implement AI solutions using Microsoft Azure AI Foundry within an existing Microsoft Fabric architecture - Integrate AI services with Fabric components including: - - Data Factory - - OneLake - - Power BI - - Lakehouse and Warehouse environments - - Real-Time Analytics - Build and operationalize generative AI and machine learning workflows - Configure and manage: - - Azure AI Services - - Azure OpenAI - - Model deployment pipelines - - Prompt orchestration and evaluation - Establish secure connectivity between Azure AI Foundry and enterprise data sources - Implement governance, RBAC, security, compliance, and cost management controls - Develop reusable AI pipelines, APIs, and automation frameworks - Collaborate with platform teams to ensure scalability, observability, and production readiness - Support CI/CD and Infrastructure-as-Code deployment patterns - Provide technical leadership and documentation for AI platform adoption Must have qualifications To be considered for this role, you must meet the following essential qualifications: - 5+ years of experience in cloud engineering, AI engineering, or data platform architecture - Strong hands-on experience with: - - Microsoft Fabric - - Azure AI Foundry - - Azure OpenAI - - Azure Machine Learning - - Azure Data Services - Experience integrating AI workloads into enterprise analytics platforms - Proficiency in Python and/or C# - Experience with REST APIs, SDKs, and AI orchestration frameworks - Knowledge of: - - Vector databases - - Retrieval-Augmented Generation (RAG) - - Prompt engineering - - Model evaluation and monitoring - Familiarity with DevOps practices including GitHub Actions or Azure DevOps - Strong understanding of enterprise security and governance Nice to have qualifications - Microsoft Azure certifications - Experience with: - - Semantic models in Fabric - - Copilot integrations - Experience working in regulated or enterprise-scale environments - Consulting or stakeholder-facing delivery experience If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. The benefits This is a temporary full-time position based in New York City. The offered salary range is $75-$110 hourly, depending on experience and location. Beyond a competitive compensation package, we offer: - Flexibility, with remote and hybrid work options (country-dependent) - Career advancement, with international mobility and professional development programs - Learning and development, with access to cutting-edge tools, training and industry experts - Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.

Title: Senior/Software Engineer, AI-Powered Advertising Agents Location: Pune Job Description: Department: Engineering About the Role PubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions. What You'll Do: - Provide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. - Lead the design, development, and deployment of AI-driven features. Drive end-to-end ownership—from feasibility analysis and design specifications to execution and release—while ensuring quick iterations based on customer feedback in a fast-paced Agile environment. - Spearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. - Ensure that the solutions are aligned with long-term product strategy and technical roadmaps. - Implement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. - Develop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. - Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. - Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses. - Utilize evaluation frameworks and metrics (e.g., Evals) to assess and improve the performance of generative models and AI systems. - Work with data scientists, engineers, and product teams to integrate AI-driven capabilities into customer-facing products and internal tools. - Stay up to date with the latest research and trends in LLMs, RAG, and generative AI technologies to drive innovation in the company’s offerings. - Continuously monitor and optimize models to improve their performance, scalability, and cost efficiency. We'd Love for You to Have: - 2 to 5 years of experience and strong understanding of LLMs and their underlying principles — transformer architecture, attention mechanisms, and hyperparameter tuning. - Proven experience designing and building AI agents, including multi-agent orchestration, tool-use patterns, multi-step planning, and agent memory architectures (short-term and long-term). - Hands-on experience with agentic frameworks such as LangGraph, CrewAI, or AutoGen, and familiarity with RAG pipelines that integrate external knowledge sources (documents, databases, APIs). - In-depth knowledge of vector databases and indexing algorithms; practical experience with FAISS, Pinecone, Weaviate, or Milvus. - Experience with agent observability, tracing, and guardrails — tools like Langfuse or equivalent — to ensure reliability, safety, and debuggability of agentic systems. - Proficiency in prompt engineering — crafting, iterating, and optimizing complex prompts for context-sensitive, domain-specific LLM outputs. - Familiarity with Evals and other performance evaluation tools for measuring model quality, relevance, and efficiency. - Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. - Experience with data preprocessing, vectorization, and handling large-scale datasets. - Ability to present complex technical ideas and results to both technical and non-technical stakeholders. Nice-to-Have: - Experience in building AI agents using graph-based architectures, including knowledge graph embeddings and graph neural networks (GNNs). - Experience with training small base models using custom data, including data collection, pre-processing, and fine-tuning models to specific domains or tasks. - Familiarity with deploying AI models on cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). - Familiarity with programmatic advertising, RTB, or ad auction mechanics. - Knowledge of MCP (Model Context Protocol) or similar tool-integration standards - Publication or contributions to research in AI, LLMs, or related fields. Qualification: Should have a bachelor’s degree in engineering or an equivalent degree from a well-known institute/university. Additional Information: Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

Your role at DynatraceMost AI developer tools operate without any knowledge of how software actually behaves in production. Dynatrace is in a unique position to change that. We're looking for a Senior or Principal Generative AI Engineer to design and build the evaluation and simulation capabilities at the core of our product. You'll work across the stack, from CLI tooling that engineers run locally, to large-scale simulation pipelines, to LLM-as-a-judge evaluation frameworks running against real Dynatrace AI Observability data. This role sits inside Dynatrace's Engineering organization and works closely with product, design, and the platform teams that power Dynatrace's AI-observability stack. Your responsibilities: - Conduct research in the field of Generative AI - Design and build systems that let users replay and stress-test AI Agents at scale. Detect regressions across model versions, prompt changes, and data drift. Define the metrics, datasets, and judging strategies that make results trustworthy. - Build infrastructure to simulate multi-turn, tool-using agents in realistic environments. Generate adversarial scenarios, measure task completion, tool-use correctness, and failure modes. Help teams ship agents with confidence. - Own developer-facing CLIs that run evaluations on top of Dynatrace AI Observability data, from trace ingestion to judge configuration to reporting. Make it the tool AI engineers reach for first when debugging a production behavior. - Prototype quickly, run user feedback cycles, and ship to production - Define technical strategy for the team's AI systems, set architectural direction, and mentor other engineers - Collaborate with product and design to identify which developer problems are most worth solving What will help you succeed - 5+ years (Senior) or 10+ years (Principal) of professional software engineering experience - Demonstrated experience shipping production systems that use LLMs, including prompting, tool calling, evaluation, and iteration - Strong foundation in at least one of: developer tooling (IDEs, compilers, static analysis, code intelligence), AI/ML engineering, or large-scale distributed systems - Hands-on experience with agentic patterns: planning, tool use, retrieval, memory management - Ability to evaluate and critique AI-generated output. You understand when a model is wrong, not just that it is. - Clear communication with cross-functional partners across product and engineering - Background in observability, APM, or infrastructure monitoring - Familiarity with engineering platforms at scale: CI/CD systems, developer portals, internal tooling - Hands-on experience with LLMs: prompt engineering, evaluation frameworks (e.g. LLM-as-a-judge, golden datasets, pairwise comparisons), or agent frameworks. Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically. - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and Rewards - We offer attractive compensation packages and stock purchase options with numerous benefits and advantages. - Due to legal reasons, we are obliged to list a salary range for this position, which is €74,000 up to €112,000 gross per year based on full-time employment (38.5 h/week). We’ve listed the salary range for transparency, but if your experience and skills bring unique value, we’d still love to hear from you—please apply even if you’re outside the range. Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.