Senior Software Engineer - GenAI

Summary

Join Abnormal Security's Research and Development organization as a Senior Software Engineer in the Gen AI Group (GAI) and play a key role in developing cutting-edge AI-powered security products. You will architect, develop, and deploy advanced AI technologies to solve complex problems, working closely with senior engineering leaders, including the CTO and Chief Architect. This position requires a blend of technical expertise, innovative thinking, and leadership skills to drive the development of AI solutions that will transform customer-facing products and internal applications.

Requirements

• Minimum of 8 years of experience in software engineering with a focus on AI/ML
• Proven track record of delivering AI-based solutions in a production environment
• Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc
• Backend generalist with both breadth and depth of experience with several backend architectures (streaming, event driven, RPC-based, serverless, etc.) and technologies (data stores, caches, RPCs, etc.)
• Strong programming skills in languages such as Python or Go
• Proven track record mentoring engineers and “raising the bar” for the whole team
• Independent and self-motivated

Responsibilities

• AI Solution Development : Design, develop, and implement advanced AI models and algorithms to solve identified problems, ensuring they meet performance, scalability, and reliability requirements
• Technical Leadership : Provide technical guidance and mentorship to junior engineers within the team, fostering a collaborative and innovative work environment
• Research & Innovation : Stay abreast of the latest advancements in AI and machine learning technologies, incorporating relevant techniques and methodologies into the development process
• Collaboration : Work closely with the CTO, Chief Architect, and other stakeholders to understand business needs and translate them into technical solutions
• Code Quality & Best Practices : Ensure the highest standards of code quality, documentation, and best practices are maintained across the team
• System Architecture : Contribute to the architecture and design of AI systems, ensuring they are robust, maintainable, and aligned with the overall technical strategy of the organization
• Performance Optimization : Analyze and optimize AI models and systems for efficiency, performance, and scalability
• Integration : Collaborate with other engineering teams to integrate AI solutions seamlessly into existing products and systems

Preferred Qualifications

• Experience with big data technologies and tools such as Hadoop, Spark, or similar
• Knowledge of reinforcement learning, computer vision, or other specialized AI domains