Senior Agentic AI Engineer

The Team At Coderoad, we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for. We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level! Position Location - Latam (Remote). Time Zone Requirements - This team operates on the East/West Coast time zones. Key Responsibilities Design, build, and deploy agentic AI prototypes end-to-end to enhance the company’s procurement platform and related products. Architect and implement agent-based systems using AWS-native services, with a strong focus on Amazon Bedrock, AgentCore and Amazon Strands SDK . Translate business and product needs into scalable agentic architectures, validating ideas quickly through working prototypes. Develop high-quality, production-ready code primarily in Python , following best engineering practices. Collaborate closely with Product, Engineering, and Data teams to integrate agentic solutions into existing systems. Leverage data science and ML concepts to improve decision-making, automation, and intelligence within agent workflows. Support deployment, monitoring, and iteration of agentic solutions using CI/CD pipelines and AWS DevOps practices . Continuously evaluate emerging agentic frameworks, tools, and AWS capabilities to keep solutions cutting-edge. Requirements Proven hands-on experience designing and implementing Agentic AI architectures in real-world scenarios. Proven experience designing and implementing enterprise-grade architectures is required. Strong experience working in AWS environments , including deep knowledge of Amazon Bedrock, AgentCore and Amazon Strands SDK . Advanced Python skills, with experience building, testing, and deploying complex systems. Solid background in Data Science / Machine Learning , including working with models, data pipelines, and experimentation. Practical experience with CI/CD and DevOps concepts (infrastructure, deployment, monitoring), preferably in AWS. Experience building prototypes that evolve into production solutions —this is a hands-on builder role, not research-only. Ability to work autonomously, take ownership of ideas, and move fast from concept to deployment. Strong problem-solving mindset with the ability to connect technical decisions to business impact. What You’ll Love 100% Remote Holidays off Paid Time Off Health insurance assistance program Competitive USD compensation Strong team culture and collaborative environment Ongoing training and growth opportunities