• Design and implement scalable, fault-tolerant backend services for email and in-app notifications • Build and evolve event-driven, asynchronous pipelines that process high volumes of product and user events • Create high-quality technical designs and write clean, maintainable, self-documented production code • Ensure correctness, idempotency, deduplication, and delivery guarantees across notification flows • Optimize performance, latency, and scalability while maintaining reliability under peak load • Take long-term ownership of features and subsystems, including production health and evolution • Collaborate with Product and Platform teams to deliver relevant and timely user notifications

• You will be part of the team building a data focused product that is built on best of breed open source solutions like Kafka, Trino, DuckDB, and Superset. • You will work both on backend and frontend to build end-to-end features that make interacting with data easier enabling users to be able to tell a data story through our product.

• Drive innovative tech solutions adhering to iterative principles • Originate, champion, and execute on new ideas for projects • Collaborate with project leads and other software engineers across multiple teams • Work on software solutions that will transform the consumer lending and blockchain space • Be a leader, use your voice, apply your tech skills to solve real-world problems

Role Description Everforth ECS is seeking a highly skilled AI Developer with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack. Key Responsibilities: - AI/ML Model Development: - Design, build, fine tune and train machine learning and deep learning models using Python. - Perform data preprocessing, feature engineering, and model optimization. - Evaluate models using domain appropriate metrics and improve performance iteratively. - Deploy custom models to production environments (cloud/on-premises) using MLOps best practices. - Full-Stack Development: - Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models. - Build responsive and user-friendly front-end interfaces for AI-powered applications. - Integrate AI models into web and mobile applications. - Ensure scalability, security, and performance of deployed solutions. - Collaboration & Documentation: - Work closely with data scientists, developers, frontend developers, and product managers. - Document model architectures, APIs, and deployment processes. - Participate in code reviews and maintain high coding standards. Note: Candidates must be able to obtain a USPS Public Trust Clearance. This requires US Citizenship or Permanent Resident Status (Green Card), and the ability to pass a stringent background check. Salary Range: $150,000-$175,000 Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. - 3+ years of experience in AI/ML development and full-stack application building. - Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). - Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js). - Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). - DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). - Version Control: Proficiency with GitHub workflows. - Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms. - Experience with Databricks. - Knowledge of data visualization tools (Matplotlib, Plotly, D3.js). - Familiarity with microservices architecture. - Prior experience in AI product development from concept to deployment.