Role Description We are seeking a highly skilled Software Engineer with 5–7 years of experience in software development, application support, and incident management. The ideal candidate should have expertise in Python, SQL, C#, VBA. This role involves designing, developing, maintaining, and supporting applications while ensuring high performance and reliability. This role is responsible for interfacing with the operations teams to provide support. - Design, develop, test, and maintain software applications using Python, SQL, C#, VBA. - Work with MSSQL databases for data management, optimization, and query execution. - Provide incident management and support, troubleshooting software and system issues efficiently. - Collaborate with cross-functional teams to define, design, and deliver new features. - Ensure code quality, security, and performance through best practices and testing methodologies. - Maintain technical documentation for reference and reporting. - Participate in code reviews, debugging, and application enhancements. Qualifications - Fluently in Spanish Language. - 2 to 5 years of experience in software development and support. - Strong proficiency in Python, SQL, C#, VBA. - Hands-on experience in incident management and application troubleshooting. - Strong understanding of database design, performance tuning, and SQL optimization. - Experience with Cloud platforms (Azure) and modern development frameworks. - Excellent problem-solving and analytical skills. - Strong verbal and written communication skills. - Ability to work independently as well as collaboratively in a team. - Curiosity and passion for learning. Requirements - Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field. - A Master’s degree in a relevant field is a plus. - Certifications in technical skills required are advantageous. - Experience in cloud-based development and deployment. - Knowledge of Agile methodologies and DevOps practices.

• Build production software – Design and implement scalable backend services, APIs, and data pipelines with a focus on reliability, performance, and maintainability • Develop agentic systems – Create autonomous agents that leverage LLMs to reason, use tools, and orchestrate complex multi-step workflows • Architect for scale – Design systems that handle real-time AI inference, conversation state, and tool execution with proper error handling and recovery • Design, develop, and deploy machine learning models that drive product features, improve user engagement, and enhance decision-making processes • Collaborate cross-functionally – Partner with Product, Design, and Engineering teams to define requirements and deliver AI-powered features. • Maintain engineering excellence – Write clean, well-tested code; conduct thorough code reviews; champion best practices across the team • Stay current – Evaluate emerging agentic frameworks, patterns, and tools; prototype new approaches to solve real problems

• Join a small, senior team at the early stages of building a product from scratch • Convert product requirements into thorough technical design documentation • Architect and implement backend services built to handle enterprise-scale demand • Design systems with high availability and fault tolerance in mind • Embed security thinking at every layer — application, API, and infrastructure • Own API design across both public-facing and internal service boundaries, including schema modeling and integration patterns • Work cross-functionally with product and design stakeholders throughout the development lifecycle • Thrive in a remote-first environment using a blend of synchronous video calls and async communication • Stay current with emerging technologies and approach new challenges with genuine curiosity • Take part in engineering hiring by conducting interviews and evaluating candidates

• Owns end-to-end technical direction and client alignment for the agentic AI platform. • Primary technical interface with the client, translating business requirements into architecture spanning RAG pipelines, MCP connectors, and hybrid orchestration across Appian, ERP, DealCloud, Backstop CRM, Snowflake, and Graph DB. • Lead architecture across all AI layers: RAG, MCP connectors (action/data), agent orchestration. • Define integration strategy leveraging existing client APIs, minimising custom build. • Drive MCP connector design for Appian, ERP, DealCloud, Backstop, Snowflake, Graph DB. • Own RAG pipeline decisions: chunking strategy, embedding model, Pinecone retrieval, re-ranking. • Collaborate with client stakeholders (business + IT) to validate use cases. • Guide the offshore team (AI/ML engineers, data engineers).