Found Engineer / AI / LLM /

A rapidly expanding Insurtech startup is seeking a highly-skilled, passionate and hands-on Founding Engineer to join the team. We're leveraging cutting-edge technologies to transform the insurance industry by streamlining processes, enhancing risk evaluation, and delivering personalized, faster, and smarter experiences for policyholders.Key Responsibilities:Full-Stack Development (35%): Build customer-facing applications across the frontend and backend using technologies such as React, Vue, Node.js, Python, Go, TypeScript, GraphQL, and REST APIs.AI/ML Integration & Model Deployment (20%): Work on implementing AI/NLP models and optimizing their performance with frameworks like TensorFlow, PyTorch, Hugging Face, GPT, BERT, FAISS, and Pinecone.Cloud & Infrastructure Management (15%): Oversee cloud infrastructure management, ensuring security, reliability, and scalability with AWS, GCP, or Azure.Data Engineering & Pipelines (10%): Design and optimize data workflows and real-time processing pipelines using technologies like Airflow, Spark, Kafka, SQL, and NoSQL databases such as DynamoDB, PostgreSQL, or Redis.DevOps & Automation (10%): Build CI/CD pipelines and manage infrastructure-as-code with tools like Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions.Collaboration & Strategy (10%): Collaborate with founders, AI researchers, and the product team to align on strategic decisions and technical roadmaps.Required Qualifications:5+ years of full-stack development experience with a focus on AI-driven or data-centric applications.Proven experience in building customer-facing applications, both frontend (React, Vue, etc.) and backend (Node.js, Python, Go, etc.).Strong understanding of AI/ML technologies, including NLP and experience with LLMs (such as GPT and BERT).Experience in designing and optimizing data pipelines with technologies like Airflow, Spark, Kafka, and related tools.Expertise in cloud computing platforms (AWS, GCP, Azure) and container orchestration using Kubernetes and Docker.Proficiency in DevOps practices—building CI/CD pipelines, automating deployments, and managing infrastructure-as-code using Terraform.Desired Experience:Experience in early-stage startups, with a hands-on approach and the ability to manage various roles and tasks.Familiarity with vector databases (Pinecone, FAISS, Weaviate) for NLP applications.Knowledge of MLOps tools and frameworks like MLflow or SageMaker.Contributions to open-source AI/ML projects would be a pensation & Benefits:Equity EligibleHealth Benefits: Medical, dental, and vision insurance.Unlimited Vacation TimeThis is a great opportunity for a driven, versatile engineer who is ready to shape the future of an exciting startup. Applicants must have the legal authorization to work in the U.S. on a full-time basis both now and in the future. #J-18808-Ljbffr

Created: 2025-09-17