Product Engineer at Allstate focused on building and enhancing internally-used digital products. The role involves implementing generative and agentic AI technologies to automate and optimize development workflows, as well as building features for the ServiceNow portal. Requires strong Java, JavaScript, and Angular.js experience, with desirable skills in Generative AI, LangChain, and LLM orchestration.

Distinguished Engineer role at Allstate focusing on leveraging AI and GenAI to transform cybersecurity practices and software delivery. The role involves pioneering complex enterprise problems, integrating AI solutions, and mentoring engineers while staying on the cutting edge of technology.

This role involves architecting, designing, and implementing AI and machine learning applications, particularly generative AI and RAG patterns, for the insurance industry. The developer will build and manage these applications in production, focusing on automating and enhancing insurance processes, and ensuring AI-based KPIs are met. The role also includes building traditional microservices and establishing CI/CD pipelines.

Software Engineer focused on building AI/GenAI/Agentic AI capabilities on an Unstructured Data Platform, transforming enterprise data into actionable intelligence and autonomous AI systems. Requires Python/Java, experience with LLMs, RAG, Vector Search, Multimodal AI, AI Agents, Prompt Engineering, and cloud platforms like AWS.

This role focuses on implementing generative and agentic AI technologies to automate and optimize software development workflows, specifically for internally-used digital products supporting enterprise infrastructure and incident management. The position involves full-stack development using Java and JavaScript, with a focus on integrating AI capabilities into the ServiceNow portal and development pipelines.

Product Engineer Sr. Java Springboot role at Allstate, focusing on architecting, designing, and implementing digital products. The role involves working with modern technologies, owning production systems, and achieving KPIs. Key responsibilities include participating in planning meetings, system design, performance improvements, and mentoring. The role requires experience with Java Springboot, distributed systems, and specifically with Generative AI APIs, AI Agents, LLM orchestration, and RAG pipelines. Experience with web security, databases (MongoDB, Kafka), and version control (git) is also mentioned. The role emphasizes Agile and Test-Driven Development practices.

Lead AI Cloud Platform Engineer responsible for building and operating cloud platforms for AI solutions, collaborating with product teams to define AI strategy and prioritize use cases using Google Vertex AI, AWS, and Azure AI Services. The role involves both operational tasks and engineering new solutions, with a focus on Terraform and automation.