Overview
Design, develop, deploy and support secure AI-powered enterprise applications, intelligent automation solutions and system integrations within Allstate's Law & Regulations team.
What you'll do
- Design, develop, and maintain backend services and APIs using modern frameworks (e.g., Java Spring Boot, Node.js, or Python FastAPI).
- Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments.
- Design and implement solutions leveraging LLMs, Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) architectures.
- Fine-tune and optimize LLMs for specific use cases.
- Collaborate with product managers, architects, and cross-functional teams to define technical solutions and deliver business outcomes.
- Integrate AI/ML services and APIs into enterprise applications while following engineering and security best practices.
- Develop intelligent automation solutions that improve productivity, user experience, and operational efficiency.
- Troubleshoot, optimize, and enhance application performance, scalability, and reliability.
- Contribute to technical documentation, architecture discussions, and continuous improvement initiatives.
- Deploy and manage applications on cloud platforms, preferably Microsoft Azure.
- Participate in Agile ceremonies, including daily standups, sprint planning, backlog refinement, and retrospectives.
- Actively contribute to software development efforts by writing, reviewing, and maintaining high-quality, scalable, and secure code.
What you'll need
- 3+ years of software development experience using Python and/or Java Spring Boot.
- Experience working with Generative AI APIs and/or open-source models.
- Experience with LangChain, LLM orchestration, or RAG (Retrieval-Augmented Generation) pipelines.
- Familiarity with prompt engineering, embedding models, or vector databases.
- Strong understanding of RESTful APIs, microservices architecture, and asynchronous processing.
- Knowledge of web and API security frameworks.
- Experience with relational databases, NoSQL databases (MongoDB, DocumentDB), vector databases, Kafka, caching, and Kubernetes.
- Strong communication, collaboration, and problem-solving skills.
- Ability to manage multiple priorities and contribute effectively within a cross-functional team.
- 4 or more years of experience.
Nice to have
- Exposure to multi-modal AI systems and agentic AI frameworks.
- Exposure to MLOps and model deployment workflows.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Experience with cloud platforms (Azure, AWS or GCP).
- Knowledge of frontend frameworks like React or Angular.
Details
- Location: US - Remote.
- Compensation: 90,700.00 - 153,925.00 annually, based on experience and qualifications.
- Background investigation required for the selected candidate.
- Allstate generally does not sponsor individuals for employment-based visas for this position.
- Employees eligible to work from home receive a monthly connectivity reimbursement; a dedicated private workspace and internet with minimum 50 MB download and 5 MB upload are required when working from home.
Read the full description and apply on the company’s own careers page.