Senior Software Engineer I - AI Engineering
Role details
Job location
Tech stack
Job description
We are seeking a Senior Software Engineer I with a passion for generative AI and platform architecture. In this role, you will implement robust systems to deliver reusable AI services and components, collaborating closely with cross-functional stakeholders to solve meaningful challenges. You will also contribute to mentoring other engineers and help evolve our engineering practices., * Design, develop, and maintain generative AI services and reusable components using mostly Python and a little bit of Java.
- Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
- Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
- Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
- Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
- Contribute to the resolution of complex technical challenges across distributed systems.
- Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
- Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
- Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.
Requirements
- 5+ years of software engineering experience.
- Solid understanding of software development methodologies and data modeling principles.
- Deep expertise in Python and Java.
- Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).
- Strong experience with Kubernetes (EKS) and cloud-native architectures.
- Proven track record building scalable backend systems and APIs.
- Experience mentoring engineers and contributing to architectural decisions.
- Ability to work collaboratively across functions in an Agile or Kanban environment.
Nice to Have
- Experience operationalizing LLMs or building internal AI platforms.
- Familiarity with observability practices (metrics, logging, alerts).
- Exposure to knowledge graphs or semantic search systems.
Benefits & conditions
We promote a healthy work-life balance across the organization. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times you work in the day to help you fit everything in and work when you are the most productive.