Software Engineer at Entain

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, JavaScript/TypeScript, Java, API Development, Microservices, AWS, GCP, Azure, CI/CD, Docker, Kubernetes, RESTful APIs, DevOps, LLMs, Generative AI

Industry

Entertainment Providers

Description

Company Description We’re Entain. Our vision is to be the world leader in sports betting and gaming entertainment by creating the most exciting and trusted experience for our customers, revolutionizing the gambling space as we go. We're home to a global family of more than 25 well-known brands, and with a focus on sustainability and growth, we will transform our sector for our players, for ourselves and for the industry. Job Description Data intelligence and AI plays a transformational role in how we create value today and how we shape our future. We have a bold ambition to be a world-class data and AI driven business for our customers across all our regions and business functions. This is a hands-on software engineering role that will work within our ASE Data & AI function. You will build intelligent applications that combine the best of application development and generative AI, including LLMs and agent frameworks. The purpose of this role is to develop scalable solutions that automate complex processes and extend capabilities beyond what humans can achieve manually. By leveraging your software engineering expertise alongside emerging AI technologies, you'll help transform business operations and drive innovation throughout the organization. Key Responsibilities Develop AI-powered applications and services that integrate with our data platform and business systems Implement and optimize agent-based architectures, leveraging LLMs and other AI components to automate complex workflows Build and maintain APIs and microservices that enable seamless integration between AI systems and existing business applications and underlying platforms Deploy, monitor and scale AI workloads on cloud infrastructure (e.g. AWS, GCP, Azure) ensuring high availability and cost efficiency Collaborate with data engineers and data scientists to implement technical solutions that address specific business challenges Monitor application performance and implement improvements to enhance reliability and efficiency Apply software engineering best practices, including CI/CD, version control, and automated testing Document code, architecture, and processes to ensure knowledge sharing across the team Troubleshoot and resolve technical issues, working with cross-functional teams when necessary Stay current with emerging technologies in AI and software development, evaluating their potential application to business problems Qualifications Essential: Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent practical experience At least 1-3 years of hands-on experience in software engineering roles Proficiency in Python and one or more modern programming languages such as (Go, JavaScript/TypeScript, or Java) Experience with API development and microservices architectures Familiarity with AWS and associated cloud services Understanding of software development best practices, including version control, CI/CD, and testing Experience with containerization technologies (Docker, Kubernetes) Familiarity with modern web frameworks and frontend technologies Experience with RESTful APIs and other integration patterns Experience with DevOps practices and tools Familiarity with LLMs, generative AI, or agent frameworks Strong problem-solving skills and attention to detail Desired: Knowledge of AI orchestration platforms or vector databases for RAG Familiarity with event-driven architectures and message queues Knowledge of infrastructure as code (Terraform) Experience building front-end integrations using React or similar frameworks Experience with real-time systems and processing Good understanding of database technologies and data processing Understanding of security best practices for AI applications Additional Information #LI-Hybrid At Entain India, we do what’s right. It’s one of our core values and that’s why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, across any protected characteristic, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. Advertising Department: Data & Analytics

Responsibilities

The role involves developing AI-powered applications and services that integrate with data platforms and business systems, focusing on implementing and optimizing agent-based architectures using LLMs. Key tasks include building and maintaining APIs and microservices, deploying AI workloads on cloud infrastructure, and collaborating with data teams to implement technical solutions.