Senior AI Software Engineer

🔥 38 minutes ago

🇺🇸 United States – Remote

💵 $110k - $181k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💸 Finance

💰 Post-IPO Equity on 2014-01

Insurance • Finance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• 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. • Fine-tune and optimize LLMs for specific use cases. • Build secure, scalable, and high-performance microservices. • Monitor and improve system performance, reliability, and scalability. • Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). • Deploy and manage applications on cloud platforms, preferably Microsoft Azure. • Participate in code reviews, testing, and continuous integration processes.

🎯 Requirements

• 3+ years of backend development experience using Java Spring Boot or Python. • Strong understanding of RESTful APIs, microservices architecture, and asynchronous processing. • 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 problem-solving and debugging skills. • Exposure to multi-modal AI systems and agentic AI frameworks is preferred. • Exposure to MLOps and model deployment workflows is preferred. • Experience with Docker, Kubernetes, and CI/CD pipelines is preferred. • Experience with cloud platforms (Azure, AWS or GCP) is preferred. • Knowledge of frontend frameworks like React or Angular is preferred.

🏖️ Benefits

• Comprehensive technology setup, including laptop, monitors, headset, keyboard, and mouse. • Monthly connectivity reimbursement to help offset internet costs. • Flexible working hours.