• Design, build, and deploy scalable machine learning and AI systems in production environments. • Collaborate with Product Managers, Data Scientists and Engineers to lead the implementation of models and integrate them into data pipelines and agentic applications. • Lead model performance monitoring, retraining workflows, and continuous improvement. • Lead the implementation of data preprocessing and feature engineering pipelines for ML use cases. • Lead to experimentation and testing of AI models to improve accuracy and performance. • Develop, maintain, and optimize scalable data pipelines for analytics and machine learning workloads. • Ensure data reliability, quality, and performance across data systems. • Implement and maintain data ingestion pipelines from various internal and external sources. • Build and improve internal tools that support data operations and data quality. • Monitor and troubleshoot data pipelines to ensure consistent and timely delivery. • Contribute to improving platform efficiency and scalability. • Participate in code reviews and follow best practices in data and ML engineering. • Document data pipelines, ML workflows, and system architecture. • Contribute to evolving data and AI engineering best practices. • Stay current with emerging tools, frameworks, and trends in AI, ML, and data engineering.

• Define and own Platzi's AI roadmap from infrastructure and tooling to features that directly impact the learner experience • Design, develop, and deploy machine learning models, LLM-powered features, and AI-driven pipelines at production scale • Translate ambiguous product and business needs into concrete technical solutions, working closely with Product, Engineering, and Data teams • Evaluate, prototype, and integrate emerging AI technologies including foundation models, RAG architectures, and agentic frameworks with a bias toward what ships over what's theoretically elegant • Establish engineering practices for model evaluation, monitoring, responsible AI use, and MLOps across the organization • Mentor engineers and grow a team with strong technical judgment and a culture of rapid, deliberate experimentation • Stay ahead of the AI research landscape and identify what's worth applying to real-world problems today not in 18 months • Communicate AI strategy and technical decisions clearly to non-technical stakeholders, including leadership and external partners

Location: EMEA (CET time zone) Beyond our core agency services, we are developing Elevate, a proprietary Marketing Intelligence product featuring a "Universal AI Agent." Our technical vision is to consolidate our diverse internal tools and client-facing agents into a unified, autonomous ecosystem using the Model Context Protocol (MCP). In this role, you will operate as a Senior AI Solutions Engineer. You will have full architectural autonomy to design, build, and deploy complex AI solutions. You will bridge the gap between low-code orchestration and custom backend engineering to solve high-value business problems. Responsibilities Product Engineering (Elevate & Core Infrastructure) - Architect and build the Universal Agent: Design the central orchestration layer for our "Elevate" platform, allowing the AI to autonomously perform complex actions across integrated marketing tools. - Implement MCP Strategy: Lead the adoption of the Model Context Protocol (MCP) to standardize how our agents connect to external APIs, databases, and third-party platforms. Client & Agency Automation - Bespoke Agent Development: Prototype and deploy specialized AI agents or automation workflows for our internal process automation and B2B clients (e.g. Automated File handling, Data Analysis Pipelines, Automated Reporting). Technical Implementation - Advanced Integrations: Build custom connectors for complex APIs, handling authentication and data transformation programmatically. - Custom Tooling: Extend the capabilities of standard automation platforms by writing custom nodes, scripts, and microservices in TypeScript or Python. - Reliability Engineering: Ensure all workflows are production-grade, implementing comprehensive error handling, logging, and rate-limit management strategies. - Engineering Background: 5+ years of experience in software development (Backend focus) with a strong portfolio of AI/Automation projects. - Coding Proficiency: Strong production skills in TypeScript (Node.js) or Python. You must be comfortable writing code when low-code tools reach their functional limits. - API Architecture: Experience working with REST, GraphQL, and Webhooks. Ability to reverse-engineer private APIs when necessary. - LLM Architecture: Deep understanding of Large Language Models, including Prompt Engineering (OpenAI, Anthropic), Function Calling (Tool Use), Embeddings and RAG. - Automation Workflows Expertise: Experience with workflow automation software and workflows like N8N, Zapier, Make or Langchain - Database Knowledge: Proficiency with SQL and Vector Stores. Why Join Us? - Architectural Freedom: You define the technical approach. We focus on the outcome, giving you the autonomy to choose the right tools for the job. - Product Impact: You are not just building temporary scripts; you are engineering the core intelligence logic for the "Elevate" product. - Advanced Tech: We are early adopters of standards like MCP, offering you the chance to work with the latest developments in Agentic AI. Conditions - USD compensation that values your expertise.‍ - Work from anywhere: Fully remote to suit your lifestyle.‍ - 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.‍ - Growth-focused environment: Access to learning resources and clear pathways for growth.‍ - Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more. - ‍A culture of trust: We cut the red tape — results over rules always. Open talk, ownership, and getting things done together. AI Digital does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class in terms of employment. We support workplace diversity and believe strongly that it contributes to a broader collective perspective that consistently leads to better products and a better company. We are working hard to increase the diversity of our team.

We are proud to partner with SkillBridge to offer internship opportunities for qualified transitioning service members. These internships span a variety of fields including Software Engineering, UX/UI Design, Data Engineering, Project Management, and more. Participants will work primarily remotely with their assigned host company, engaging in individual internships aligned to entry- or mid-level roles and following a full-time, 40-hour workweek schedule. The Goals, Objectives, and Outcomes of the program are outlined below. We are seeking a highly skilled and experienced Front-End Engineer to join our team, which is focused on providing software and technology solutions for the Department of Defense (DoD). The ideal candidate will have a background in engineering, strong experience in the DoD, and a deep understanding of the value streams associated with complex DOD kill chains. Duties and Responsibilities: - Rapid prototyping and demonstration of technical software and hardware solutions in collaboration with developers, designers, product owners, and partner organizations - Research and monitor new technologies, frameworks, and tools - Coordinate solution design and architecture with existing product teams - Analyze technical alternatives and document key decisions - Address buy / lease / build decisions to support program cost and schedule analysis - Document architecture and product roadmap in coordination with developers, designers, and product owners - Support development, test, build, and deployment of software applications to unclassified and classified production environments Required Qualifications: - 2+ years of professional software development experience or a computer science / engineering degree. - Proficiency with version control and effective collaborative development workflows in a CI/CD environment. - Understanding of modern application architecture. - Ability to make effective architecture decisions and document them. - Penchant for learning new technologies, balanced with strong pragmatic thinking. Desired Qualifications: - Application deployment experience on DOD platforms (e.g., Platform One Big Bang) - Professional experience with React or other JavaScript frameworks. - Experience transitioning system design into software applications using web-compatible programming languages. - Understanding of concepts like asynchronous and concurrent programming and data mesh / data fabric concepts - Experience with Typescript, Java, Apache Arrow, and GPU rendering - Experience with geospatial visualization application development - Ability to perform logging and auditing for application troubleshooting and system wide metrics - Software / hardware integration and network technology experience - Active security clearance Goals – Provide transitioning service members fellowship-style job skills training during the last portion(s) of their military commitment. This program is specifically designed to offer internships that result in the potential to transition to a full-time opportunity as the conclusion of the training. Objectives - Service Members who complete the Intern program will be highly trained and capable future employees that align to the specific needs of the organization and are prepared to meet Hypergiant's mission “Know Tomorrow, Act Today” on Day 1. This program provides a comprehensive internship experience including professional development, networking with leadership, and training specifically focused on Hypergiant's leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome – Offer transitioning service member a rewarding opportunity to join the Hypergiant team. DoD SkillBridge Eligibility: - Has served at least 180 days on active duty - Is within 12 months of separation or retirement - Will receive an honorable discharge - Has taken any service TAPS/TGPS - Has attended or participated in an ethics brief within the last 12 months - Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship. Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… - Paid Time Off - Paid Company Holidays - Medical, Dental & Vision Insurance - Optional HSA and FSA - Base and Voluntary Life Insurance - Short Term & Long-Term Disability Insurance - 401k Matching - Employee Assistance Program