Andesite is looking for a strong Senior Machine Learning Engineer who has a proven track record of delivering AI/ML products at scale. You will help build and iterate on a production agent architecture involving LLMs, RAG, and context/memory management. You will also be responsible for developing other models as needed to support evolving product requirements. Work closely with product managers, product developers, threat analysts, data scientists, and other engineers to understand the business requirements and translate them into ML solutions.
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Maintain and support Java applications running in production on AWS Fargate, ensuring high availability and rapid issue resolution. Triage production incidents, conduct root cause analysis, and drive improvements. Design, and implement scalable and maintainable features and microservices to meet evolving business needs. Implement secure coding practices and ensure applications meet organizational or industry security standards.
As the newest member of our engineering team, you’ll play a key role in building and optimizing high-performance, scalable ad tech solutions – developing Real-Tim Bidding (RTB) technology. The platform handles millions of clicks per month, and they need your expertise to ensure it runs smoothly, efficiently, and intelligently. You have 6+ years of Java development experience using cutting-edge Spring Boot, Docker, and database technologies.
Serve as a technical resource for developing clean and maintainable code. Understand our client's fast-moving business requirements. Investigate & troubleshoot appropriate solutions with multiple stakeholders. Deploy updated code to development, Quality Assurance, and Product environments through Gitlab Pipelines and SQL scripts in DBeaver. Fix bugs or add features in the Java codebase for a plan. Improve current reporting processes to automate and streamline current functionality where possible.
Andesite is seeking a Senior Machine Learning Engineer to deliver AI/ML products at scale, design, develop, and deploy agentic AI involving LLMs, RAG, and context/memory management, manage AI/ML infrastructure and lifecycle, and collaborate within a cross-functional team. The candidate will also keep pace with research in machine learning, large language models, and cyber security.
Contribute to the development of Experian's flagship Android native application and implement new features and enhance existing ones based on our requirements. Write clean, maintainable, and efficient code, conduct code reviews and provide constructive feedback to peers, and ensure code quality through automated testing and continuous integration. The employee will resolve performance and scalability issues and debug and troubleshoot application issues reported by users or discovered through testing.
As a Full Stack Engineer at Cyngn, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles. You will contribute to building a scalable, high-performance SaaS platform that enables real-time control and monitoring of autonomous vehicles. Your diverse skill set will allow you to seamlessly move between backend and frontend tasks, helping to create a cohesive and efficient system.
You'll collaborate with different functions and be hands-on across the full stack: from data and modeling to software systems and observability. You’ll grow quickly, owning meaningful pieces of the products with ultimate support from experienced engineers and scientists around you. Design, build and release AI products/features that solve real user problems. Design and implement streaming/batch data pipelines to support training and inference. Write production-ready code, and move it to production with the help of cloud services and CI/CD techniques.
As the lead for the Java and Android platforms within the mobile team, you will be responsible for enhancing the state-of-the-art Couchbase Mobile database platform. You will be developing features to enhance and extend the platform to enable developers to build fast, reliable, AI-powered applications.
Your mission as a Senior Engineer is to develop features and solutions that meet the strategic goals and needs of the business, deliver high-quality code that follows best practices, ensure systems are reliable and maintainable, guide team members, and engage with the engineering community.