Role Description LLM Product Development - At least 1-2 years of professional experience building and deploying conversational AI chat and/or voice agents. - Familiarity with prompt engineering techniques and strategies for optimizing LLM outputs. - Understanding of agentic frameworks and architectures, vector databases, and retrieval-augmented generation (RAG) techniques, MCP Servers, and writing evals. AWS Cloud Engineering - 5 years of experience developing and deploying scalable solutions on AWS cloud services using a wide range of services (e.g., EC2, S3, RDS, Lambda, VPC, IAM). - Managing infrastructure-as-code with CDK or CloudFormation. - Design, develop, and implement robust, scalable, and secure cloud infrastructure solutions. Knowledge of Gen AI-related tools and libraries - You know your way around libraries such as LangChain, LlamaIndex, and Pydantic. - Bonus points if you’re familiar with tools such as ElevenLabs and n8n. Python mastery - Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). - Experience with Golang is desired. Problem-Solving Skills - Excellent analytical and problem-solving abilities, with a focus on practical and efficient solutions. Collaboration & Communication - Strong communication and interpersonal skills, capable of working collaboratively with cross-functional teams and effectively communicating technical concepts to non-technical team members. Educational Background - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. - Strong knowledge of mathematics and algorithm development. Language Proficiency - Fluency in Spanish and English, both written and spoken.

• Develop, fine-tune, and deploy **AI models** in production environments • Integrate AI features into iOS applications using **Swift and CoreML** • Build backend services to support AI-driven functionality • Manage hosting environments and maintain running instances (e.g., **Oracle Cloud infrastructure**) • Set up, deploy, and maintain servers that support AI workloads • Optimize performance, scalability, and reliability of AI systems • Collaborate with product and engineering teams to design innovative AI-powered solutions • Take ownership of technical challenges and independently drive solutions

• Architect and scale the core intelligence behind the platform • Design, build, and optimize the pipelines and agent systems that drive live customer interactions • Partner with engineering leadership to take ideas from whiteboard to production quickly • Design and optimize production-grade RAG systems • Build ranking, scoring, and routing models for live inference • Deploy and monitor reinforcement learning systems • Build and maintain ML APIs and microservices using Docker and Kubernetes

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position focuses on supporting AI development and integration through hands-on technical work, including coding, testing, and system monitoring. While primarily technical, the role also involves Agile coordination to keep tasks organized and ensure smooth communication across teams. Responsibilities - AI Development & Coding: - Assist in building and testing AI applications using platforms like ChatGPT, Azure AI, or similar. - Write and maintain clean, efficient code in Python and/or JavaScript. - Support integration of AI features into products and services. - Develop scripts and tools to automate workflows and improve AI performance. - Quality Assurance & Performance: - Execute test scripts, log bugs, and assist in debugging AI-related systems. - Monitor AI system performance and document issues for resolution. - Validate outputs for accuracy and reliability. - Documentation & Collaboration: - Create and maintain technical documentation, user guides, and workflow diagrams. - Collaborate with developers, data scientists, and product teams to ensure alignment. - Agile Support: - Work with Delivery Lead to update and maintain backlogs in Agile tools. - Track sprint progress and provide concise status updates. - Facilitate communication between technical and non-technical stakeholders. Qualifications - Bachelor’s degree in computer science, Information Technology, or related field; equivalent experience or projects acceptable. - Strong understanding of AI concepts, machine learning workflows, and model deployment basics. - Proficiency in Python and/or JavaScript. - Familiarity with AI platforms (ChatGPT, Azure AI, etc.). - Exposure to Agile methodology and backlog management tools. - Ability to write clear technical documentation, including system and workflow diagrams. - Strong attention to detail and QA skills. Preferred Qualifications - Certifications in AI, data science, or cloud technologies. - Experience with REST APIs, cloud-based development, and version control (Git). - Knowledge of data preprocessing and model evaluation techniques. - Hands-on projects or internships in AI development. - Familiarity with databases and integration workflows. Skills - Technical Problem-Solving: Ability to debug, optimize, and validate AI systems. - Coding Proficiency: Comfortable writing scripts and working with APIs. - Attention to Detail: Critical for QA and performance monitoring. - Adaptability: Ability to learn new frameworks and tools quickly. - Collaboration: Communicate effectively with technical and non-technical teams. Salary & Application Information - Salary range: $90k - $105k. - Application Deadline: The application window for this position is anticipated to close on March 22, 2026. We encourage you to apply as soon as possible. The posting may be available past this date but is not guaranteed.