Senior Ai Engineer

Summary

Join Fuel iX, an enterprise-grade AI engine, as a Senior AI Engineer. You will develop and implement AI solutions for global clients, integrating generative AI models into digital products. Responsibilities include partnering with data scientists, optimizing AI components, and ensuring compliance with industry best practices. The ideal candidate possesses extensive experience in applied AI, including machine learning, deep learning, and NLP. Strong software engineering skills and experience with cloud platforms are essential. Fuel iX offers a comprehensive benefits package, including competitive salary, bonus structure, flexible work options, and generous pension and share purchase programs.

Requirements

• Demonstrable experience in applied AI, with a foundation in machine learning, deep learning, NLP, LLMs, and statistical analysis
• Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases
• Experience with data embeddings and vector databases, understanding the trade-off between available options, and leveraging it to optimize data ingestion
• Experience building and testing a major server-side platform (such as TypeScript/Express, Java/Spring, Python/Django, C#/.NET, Ruby/Rails, etc) for API development and orchestration
• Experience leveraging CI/CD tools such as AWS CodeDeploy, Azure Pipelines, GitHub Actions, or Jenkins
• Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock and Azure AI Services
• Experience with performance optimization and observability platforms
• Proficiency in conducting experiment tracking and implementing complex AI integrations with minimal oversight
• Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders
• Skilled in creating and adjusting prompts for complex AI systems to meet diverse project requirements
• Familiarity with testing and evaluating AI systems using state-of-the-art methods and best practices
• Strong collaboration skills and ability to work alongside Data Science specialists, drawing on their expertise in AI model development and fine-tuning to deliver sophisticated AI solutions

Responsibilities

• Apply your knowledge of software engineering and AI systems to develop AI solutions that directly address and resolve business problems
• Partner with Data Science professionals who specialize in machine learning and statistical modeling to address complex technical challenges, ensuring that the latest and most effective AI techniques are utilized
• Take ownership of implementing and optimizing applied AI components, ensuring they meet project needs with high complexity and scale
• Navigate and manipulate generative AI models, including large language models, to create prompts and solutions tailored to specific use cases
• Develop and incorporate AI solutions while adhering to industry best practices, including moderation, security, and compliance standards
• Lead the charge in designing, measuring, and evaluating AI model outputs, developing standard and custom metrics to ensure alignment with business objectives
• Translate AI research into production-ready features, delivering robust and scalable AI components that integrate seamlessly with larger systems
• Drive the selection and application of appropriate evaluation metrics, ensuring that AI solutions are robust, unbiased, and meet all necessary performance standards

Benefits

• Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
• Flexibility to work in-office, virtually, or a combination of both, based on the role's requirements
• Generous company-matched pension and share purchase programs
• Opportunity to give back to communities in which we work, live, and serve
• Career growth and learning & development opportunities to develop your skills