AI Engineer

• Strong proficiency in Python and TypeScript, with experience building APIs and cloudnative architecture.\n
• Knowledge of Node.js, Next.js, and React preferred; experience with Go is a plus.\n
• Handson experience with AWS services such as SageMaker and Lambda.\n
• Ability to produce clear, maintainable code and contribute to shared documentation and engineering standards.\n
• Working knowledge of GitHub workflows, secrets handling, and secure release practices.\n
• Experience with Amazon EKS and Kubernetesbased deployment environments.\n
• Exposure to GenAI platforms, including LLM integration and semantic caching techniques.\n
• Familiarity with observability platforms such as Datadog and structured log aggregation.\n

Cellebrites (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrites AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrites digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close faster and safeguard communities. To learn more, visit us at www.cellebrite.com,https://investors.cellebrite.com/investors and find us on social media @Cellebrite.\n \n \nWhat is your mission?\n \n We are seeking a talented and driven developer to join our team and help build scalable, cloud-native solutions on AWS. This role sits at the intersection of modern software engineering and applied AI leveraging AI-powered development tools to enhance engineering productivity while also designing and delivering AI-driven capabilities within our product. \n \n You will be developing and maintaining a product to transform complex forensic data from diverse sources into meaningful investigative leads and intelligence insights. This platform will analyze large-scale datasets to uncover patterns, anomalies, and relationships across entities enabling users to see the bigger picture and act with confidence. \n \n \nResponsibilities: \n \n \n

• Design and implement features for our AWS-based AI solution, including job orchestration, manifest generation, and API integrations. \n
• Build and maintain AI-powered product features that extract insights from complex, multi-source forensic datasets.\n
• Leverage AI-assisted development tools to accelerate delivery while maintaining high standards of quality, security, and performance.\n
• Ensure code quality and reliability through comprehensive unit testing, performance testing, and observability enhancements. \n
• Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments. \n
• Troubleshoot deployment issues and contribute to the continuous improvement of dashboards and monitoring tools. \n
• Contribute to data modelling, algorithm exploration, and proof-of-concept development.\n