You’ll be part of a multidisciplinary team focused on delivering enterprise-grade AI capabilities, including generative UI, agentic AI, LLMs and RAG (retrieval-augmented generation)
How will you make an impact?
- Design and implement models that seamlessly integrate advanced AI technologies into our products.
- Collaborate with product and engineering teams to translate business goals into scalable, effective AI solutions.
- Work closely with other AI teams across R&D to build and maintain a unified AI strategy.
- Drive innovation by staying current with the latest advancements in AI and applying them to real-world use cases.
- Enhance the performance, scalability, and reliability of AI-powered services in a production environment.
- Mentor peers and contribute to a collaborative, knowledge-sharing team culture.
Have you got what it takes?
- Bachelor’s or Master’s degree in Computer Science or a related field.
- 4+ years of hands-on experience as a backend or full-stack engineer (Java / Node preferred).
- 4+ years of experience with AWS microservices, including tools like Bedrock, SageMaker, and Lambda.
- Deep understanding and practical experience in AI technologies, including agentic AI and large language models (LLMs).
- Proven success in building and maintaining enterprise products that serve active customers.
- Strong problem-solving skills and a critical, logical approach to technical challenges.
- Excellent communication and collaboration abilities, with a team-first mindset.
Director, Engineering, Recording, CX