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. 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), Oracle 19c, Azure Databricks. - Experience with Databricks. - DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). - General knowledge of Geospatial technology. - Version Control: Proficiency with GitHub workflows. - Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms. - Knowledge of data visualization tools (Matplotlib, Plotly, D3.js). - Familiarity with microservices architecture. - Prior experience in AI product development from concept to deployment. Requirements - 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. Benefits - Salary Range: $130,000 - $145,000 - General Description of Benefits

• Build internal GTM tools, automations, and workflows • Connect APIs across CRM, product, analytics, marketing, and outbound systems • Develop AI-powered workflows and agents • Experiment with MCP servers, integrations, and AI tooling • Improve attribution, funnel visibility, and lifecycle operations • Support rapid experimentation across acquisition and conversion initiatives • Identify inefficiencies and solve them through engineering

• Contribute to the development and evolution of our tracking and notification services • Write, review, and ship code that runs at high volume in production • Work closely with our engineering team on design decisions, code reviews, and day-to-day problem solving • Collaborate with a distributed, international team across product, engineering, and operations • Get hands-on with microservices, event-driven systems, and cloud-native development on AWS • Use AI tools daily as part of our development workflow

• Build AI solutions using Python, .NET and modern technologies. • Participate in the design and development of solutions using LLMs, RAG, MCP and AI harnesses. • Develop proofs of concept, experiments and scalable solutions. • Support other teams in adopting AI across the Localiza Labs ecosystem. • Create components, accelerators and best practices to facilitate AI adoption within the company. • Work on innovation, experimentation and the continuous evolution of intelligent solutions. • Help turn ideas into AI-powered products, services and tools.