Senior Software Engineer

We are seeking a seasoned Software Engineer with experience in Generative AI to play a pivotal role in developing solutions to solve complex business problems. The ideal candidate will have hands-on experience using AI technologies to improve the entire product development lifecycle and a deep understanding of cloud-based full-cycle engineering and DevSecOps practices.

About the Job

The successful candidate will be responsible for designing and implementing cloud-based software architectures, developing and implementing software components that integrate with GenAI models and applications, and continuously assessing and improving the performance of generative AI models to ensure they meet accuracy, efficiency, and scalability standards.

Key Responsibilities

• Design and implement cloud-based software architectures using Azure and AWS, ensuring compliance with best practices and mandatory requirements.
• Develop and implement software components that integrate with GenAI models and applications.
• Integrate advanced generative AI models, such as large language models (LLMs) and Transformers, to meet specific business needs.
• Seamlessly embed generative AI capabilities into both new and existing applications to enhance user experiences and drive innovation.
• Continuously assess and improve the performance of generative AI models to ensure they meet accuracy, efficiency, and scalability standards.
• Stay updated on the latest advancements in generative AI research and technology to identify new opportunities for innovation and enhancement.
• Work closely with the team to ensure successful delivery of generative AI proof of concepts
• Collaborate with architects to define the overall architecture of generative AI solutions, ensuring scalability, performance, and maintainability.
• Ensure code quality by writing clean, well-structured, and maintainable code that adheres to best practices and coding standards.
• Address complex technical challenges, from design to production at scale.
• Adopt a Product Engineering mindset to translate product objectives and customer needs into actionable engineering tasks, delegating effectively to squad members.
• Ensure DevSecOps practices are integrated into the end-to-end development lifecycle.
• Seek out opportunities to leverage AI-assisted engineering tools to improve the engineering process.
• Collaborate with cross-functional engineering teams to ensure platform capabilities align with the diverse needs of product delivery areas.
• Contribute to code delivery, promote best practices through code reviews, champion documentation, and tackle complex challenges.

Required Skills and Qualifications

The ideal candidate will possess the following skills and qualifications:

• Solid experience leading and delivering large, complex engineering projects.
• Hands-on experience using AI technologies to improve the entire product development lifecycle.
• Deep understanding of cloud-based full-cycle engineering and DevSecOps practices.
• Strong strategic thinker with a track record of turning ideas into working code in a complex enterprise environment.
• A genuine passion for finding new ways engineers can deliver amazing customer outcomes.
• Practical experience in one or more of these areas/technologies:
  • AI-powered test & QA, security, and code quality tools.
  • AI-enhanced code documentation tools.
  • AI-augmented development tools (e.g., Cursor, Bolt, Cline, Replit, or Project IDX).
• Great at mentoring and leading teams, with a focus on upskilling engineers and promoting a culture of innovation.
• Able to influence cross-functional teams, explain trade-offs, and align tech decisions with business goals.

Benefits

This is an exciting opportunity to contribute to high-impact digital transformations within the financial services sector. The role offers a collaborative and innovative work environment with exposure to cutting-edge AI and automation technologies.

How to Apply

If you are a results-oriented Full Stack Engineer seeking to play a key role in a pioneering AI-driven implementation in the financial services sector, we encourage you to apply.