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An established industry player is seeking a Senior Software Engineer to lead innovative projects in Generative AI. This remote role involves collaborating with a diverse team to develop software solutions that enhance processes like scheduling and invoicing. The ideal candidate will have extensive experience in Python, SQL, and cloud platforms, with a focus on best practices in software engineering. Join a forward-thinking company and make a significant impact in advancing AI capabilities within the organization. If you are passionate about technology and eager to drive change, this opportunity is perfect for you.
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Job Title: Software Engineer
Location: UK Remote
Duration: 12 months
Positions Available: 2
We are seeking senior-level professionals focused on implementing solutions, integrating AI, and leveraging Generative AI. The ideal candidate should have strong expertise in Python and SQL databases, with at least 6–7 years of hands-on Python development experience. Proficiency in Django and FastAPI is essential.
Preferred qualifications include experience in AI, prompt engineering, Docker, Kubernetes, CI/CD pipelines, and AWS Cloud.
The interview process consists of three rounds:
You’ll collaborate with the Aurora team dedicated to internal Firm GenAI initiatives. Our team is distributed across North America, Europe, and Latin America, focusing on advancing Generative AI capabilities and applications within our firm.
As a Senior Software Engineer II on the Aurora team, you will lead a diverse group of engineers to drive our internal GenAI projects. Your role includes developing innovative software solutions to improve processes like meeting scheduling, invoicing, and time management.
You will act as a bridge between the development team and the broader Aurora ecosystem, creating new features, improving existing ones, and fixing bugs. Responsibilities include developing, supporting, maintaining, and implementing complex software components, and solving novel problems using standard programming principles.
You will also deploy, configure, and manage applications on AWS, handling resource provisioning, infrastructure as code, and performance tuning. Troubleshooting, debugging, and optimizing performance will be key parts of your role.
Upholding best practices in software engineering, you will ensure adherence to architectural standards and roadmaps. Your leadership and technical expertise will be vital to the success of the Aurora team and the delivery of impactful AI solutions.