Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
About the role
- Generative AI Software Engineer at Allstate developing next-generation AI-driven solutions. Blending software engineering with AI integration to innovate digital products and services.
Responsibilities
- Build secure, scalable, and high-performance microservices and applications using Java Spring Boot / Python.
- Design and maintain RESTful APIs and microservices architecture with asynchronous processing.
- Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
- Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments.
- Optimize LLMs for specific use cases and implement RAG (Retrieval-Augmented Generation) pipelines.
- Work with embedding models, vector databases, and prompt engineering techniques.
- Explore multi-modal AI systems and agentic AI frameworks for advanced capabilities.
- Leverage tools like GitHub Copilot and agentic AI for code reviews, unit testing, and pull requests.
- Collaborate with platform consultants, product engineers, and digital product managers to integrate AI solutions.
- Implement best practices for model deployment, scaling, versioning, and monitoring.
- Develop and maintain scalable data pipelines for ingestion, processing, and feature engineering.
- Ensure compliance with ethical AI standards and data governance as per Allstate standards.
Requirements
- All applicants must demonstrate they have a legal right to work in the UK for employment at Allstate.
- Minimum of 3+ years of backend development experience using Java Spring Boot / Python.
- Minimum of 3+ years working with RESTful APIs, microservices architecture, and asynchronous processing.
- Minimum of 1 years’ experience working with Generative AI APIs and/or open-source models.
- Additional Skills Required for Lead and Expert Levels
- Minimum of 4+ years of backend development experience using Java Spring Boot / Python.
- Minimum of 4+ years working with RESTful APIs, microservices architecture, and asynchronous processing.
- Minimum of 1 years’ experience in LangChain, LLM orchestration, and prompt engineering.
Benefits
- A generous, flexible benefits package including annual leave, healthcare and dental cover, pension, and lifestyle discounts
- Access to world-class learning platforms and award-winning L&D
- Clear career paths, internal mobility, and a strong focus on growth
- A people-first culture with flexible working options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Graduate Deep Learning Algorithm Developer developing perception technologies for autonomous driving. Tackling challenges in object detection and 3D perception using state - of - the - art deep learning models.
Principal AI/ML Engineer leading the AI/ML infrastructure development for WEX's risk service needs. Focused on innovative engineering and technology solutions within a high - stakes environment.
AI/ML Engineer developing solutions in artificial intelligence for HPE. Responsible for conducting research, designing AI solutions, and mentoring team members.
Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
AI/ML Engineer III designing and architecting AI solutions at Hewlett Packard Enterprise. Collaborating with teams to drive innovation and tackle complex problems.
AI/ML Engineer deploying state - of - the - art AI models to solve real - world problems at Brain Co. Working in healthcare, government, and energy sectors for impactful results.
Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
Machine Learning Manager leading experienced team to drive data - driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.