Senior Software Engineer, Artificial Intelligence

Role Overview

• Architect, develop, and maintain backend services for RAG and LLM applications, ensuring high performance and scalability.
• Collaborate with research teams to implement and optimize cutting-edge algorithms for language understanding, generation, and manipulation.
• Optimize and tune backend services for performance, scalability, and reliability.
• Implement APIs and interfaces to connect backend services with front-end applications, databases, and external systems.
• Develop and execute testing strategies to ensure robust and error-free software.
• Automate deployment processes using CI/CD pipelines.
• Implement monitoring, logging, and alerting systems to ensure the health and performance of backend services.
• Create comprehensive documentation for code, architecture, and operational procedures.
• Participate in code reviews, design discussions, and contribute to the overall technical excellence of the engineering team.
• Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and growth within the team.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• PhD is a plus.
• Minimum of 3 years of experience in software engineering, with a focus on backend development.
• Strong experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Deep understanding of microservices architecture and RESTful API design.
• Experience with databases and data storage solutions, such as SQL, NoSQL, vector databases, and caching systems. (e.g. PostgreSQL, MongoDB, Milvus, MinIO, Redis)
• Strong programming skills in languages such as Python, Java, C++, or similar.
• Solid grasp of software engineering principles, software design patterns, and architectural best practices.
• Experience with designing and implementing real-time data processing, event-driven architectures using message queuing and publish-subscribe patterns. (e.g. Apache Kafka)
• Proficiency in setting up, maintaining or using CI/CD pipelines using tools (e.g. Jenkins, GitLab CI/CD)

Tech Stack

• Apache
• AWS
• Azure
• Cloud
• Docker
• Google Cloud Platform
• Java
• Jenkins
• Kafka
• Kubernetes
• Microservices
• MongoDB
• NoSQL
• Postgres
• Python
• Redis
• SQL

Benefits

• Great opportunity to get industry and enterprise experience.
• Exposure to the full spectrum of product development.
• Join a young and dynamic team with forward-looking working culture.
• Lots of room to tinker and experiment.