Senior Generative AI Software Engineer - FanDuel, Hybrid & Remote

Senior Generative AI Software Engineer - FanDuel, Hybrid & Remote

About Betfair Romania Development​:

Betfair Romania Development is the largest technology hub of Flutter Entertainment, with over 2,000 people powering the world’s leading sports betting and iGaming brands. Exciting, immersive and safe experiences are delivered to over 18 million customers worldwide, from our office in Cluj-Napoca. Driven by relentless innovation and commitment to excellence, we operate our own unbeatable portfolio of diverse proprietary brands such as FanDuel, PokerStars, SportsBet, Betfair, Paddy Power, or Sky Betting & Gaming.

Our Values:

The values we share at Betfair Romania Development define what makes us unique as a team. They empower us by giving meaning to our contributions, and they ensure that we consistently strive for excellence in everything we do. We are looking for passionate individuals who align with our values and are committed to making a difference.

Win together | Raise the bar | Got your back | Own it | Positive impact

About the brand:

FanDuel is a leading force in the sports-tech entertainment industry, redefining how fans engage with their favourite sports, teams, and leagues. As the premier gaming destination in North America, FanDuel operates across multiple verticals, including sports betting, daily fantasy sports, online gaming, advance-deposit wagering, and media. 

Roles & Responsibilities

Generative AI Model Development:

• Collaborate in developing AI applications, including AI-powered chatbots, retrieval-augmented generation (RAG) applications, agentic AI applications, recommender engines, or other generative AI tools.

• Understand and implement fine-tuning and distillation techniques for large language models.

• Prepare datasets for Generative AI model fine-tuning.

• Automate machine learning and AI processes.

• Evaluate AI applications with AI evaluation tools.

• Manage version control and tracking of AI models, including comprehensive logging and monitoring of performance metrics.

Performance Optimization:

• Evaluate model performance to pinpoint areas needing enhancement, focusing on latency, throughput, and accuracy.

• Employ strategies such as model pruning, quantization, and knowledge distillation to streamline model size and boost inference speed.

• Monitor and address potential issues in the production environment, efficiently resolving any bottlenecks.

• Continuously measure AI application responses using key metrics to maintain high output quality.

Monitoring and Alerting:

• Develop comprehensive monitoring systems to track model performance, data quality, and system health.

• Set up alerts and notifications to proactively identify and address potential issues in the production environments.

• Promptly address any harmful, unfair, or inappropriate outputs that may occur during real-world application.

Collaboration and Communication:

• Communicate technical details of AI operations to stakeholders, including non-technical audiences. 

• Stay updated on the latest advancements in generative AI technologies and best practices. 

• Work closely with product software engineering and AI tooling team to deliver best-in-class experiences

Prompt Development:

• Design and develop prompts for various applications, including text generation, translation, question answering, and creative writing.

• Collaborate with product teams and engineers to understand user needs and translate them into effective prompts.

• Analyze and optimize prompts based on performance metrics and user feedback to ensure high-quality outputs.

• Conduct experiments and research to test new modes and prompting techniques.

Required Skills and Experience

• Strong professional software development/programming skills primarily using Python

• Hands-on experience with LLMs (Llama, Amazon Nova, OpenAI)  and agentic frameworks

• Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc).

• Deep understanding and knowledge of data structures, distributed computing, and software engineering principles

• Experience with integrating AI models for text generation, computer vision, and image generation into production environments

• Familiarity with LLM orchestration frameworks such as LangChain/LlamaIndex

• Experience working with data pipelines, embeddings, and vector databases

• Deep understanding of machine learning and deep learning concepts, including deep learning architectures such as transformers

• Experience with MLOps tools and frameworks such as MLflow and Kubeflow

• Proficiency with cloud computing platforms such as AWS, GCP, or Azure and infrastructure-as-code tools (e.g. Terraform)

• Familiarity with relational databases

• Knowledge of TypeScript a plus

Benefits: 

• Hybrid & remote working options 

• €1,000 per year for self-development 

• Company share scheme 

• 25 days of annual leave per year 

• 20 days per year to work abroad 

• 5 personal days/year 

• Flexible benefits: travel, sports, hobbies 

• Extended health, dental and travel insurances 

• Customized well-being programmes 

• Career growth sessions 

• Thousands of online courses through Udemy 

• A variety of engaging office events                         

 

Disclaimer: 

 
We are an inclusive employer. By embracing diverse experiences and perspectives, we create a lasting, positive impact for our employees, customers, and the communities we’re part of. You don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you, let us know, and we’ll see how we can accommodate them.  

We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview. 

By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.