Senior Software Engineer, Artificial Intelligence, GEC

Job Description

You will collaborate with cross-functional teams of engineers, researchers, and product managers to design, develop, and deploy innovative solutions that redefine the way our users engage with language-based technologies.You will be expected to translate state-of-the-art techniques into working products and deploy them at scale.Your technical leadership and deep domain knowledge will drive the evolution of our platform and contribute to our mission of revolutionizing the way people interact with machines.

Responsibilities:

• 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.
• Technical Skills
• 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)
• AI/ML Skills
• Experience with machine learning frameworks (TensorFlow, PyTorch) and deploying models in production.
• Knowledge of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) such as GPT-4, Llama, Mistral or similar.
• Soft Skills:
• Excellent problem-solving skills, attention to detail, and a passion for staying at the forefront of technological advancements.
• Effective communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical stakeholders.

• 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.