Responsibilities
- Design, build, and deploy end-to-end agentic AI prototypes for the procurement platform and related products.
- Architect and implement agent-based systems using AWS-native services, Amazon Bedrock, AgentCore, and Amazon Strands SDK.
- Translate business and product needs into scalable agentic architectures and validate ideas through working prototypes.
- Develop production-ready Python code using sound engineering practices.
- Collaborate with Product, Engineering, and Data teams to integrate agentic solutions into existing systems.
- Apply data science and machine learning concepts to improve decision-making, automation, and intelligence in agent workflows.
- Support deployment, monitoring, and iteration of agentic solutions using CI/CD pipelines and AWS DevOps practices.
- Evaluate emerging agentic frameworks, tools, and AWS capabilities.
Requirements
- Proven hands-on experience designing and implementing agentic AI architectures in real-world scenarios.
- Proven experience designing and implementing enterprise-grade architectures.
- Strong AWS experience, including deep knowledge of Amazon Bedrock, AgentCore, and Amazon Strands SDK.
- Advanced Python skills and experience building, testing, and deploying complex systems.
- A solid background in data science and machine learning, including models, data pipelines, and experimentation.
- Practical experience with CI/CD and DevOps concepts such as infrastructure, deployment, and monitoring, preferably in AWS.
- Experience building prototypes that evolve into production solutions.
- Ability to work autonomously, take ownership, and move quickly from concept to deployment.
- Strong problem-solving skills and ability to connect technical decisions to business impact.
Benefits
- 100% remote from Latam, with East/West Coast time zone requirements
- Holidays off
- Paid time off
- Health insurance assistance program
- Competitive USD compensation
- Ongoing training and growth opportunities
Categories
About CodeRoad
At CodeRoad, we accelerate ROI through end-to-end software engineering and technology execution. Our Velocity-as-a-Service (VaaS) delivery engine deploys elite nearshore delivery pods and AI-ready systems that execute your technology roadmap, deliver measurable outcomes, and scale innovation with certainty. Founded in 2002, CodeRoad pioneered nearshore engineering delivery from La Paz, Bolivia. Over two decades, we have expanded across Latin America to build a curated network of senior engineers, product leaders, and AI specialists who collaborate in real time with North American technology teams. Through senior-led delivery pods and mature engineering frameworks, we help organizations move from strategy to execution—turning complex technology initiatives into production-ready systems without the delays that slow innovation. Our teams support companies across industries including retail, automotive, transportation and logistics, food and beverage, financial services, and energy. We operate across the modern technology landscape, mastering languages, frameworks, cloud platforms, and AI-enabled development environments to support next-generation digital systems. With Velocity-as-a-Service, organizations gain the execution architecture needed to launch products faster, modernize platforms, and drive digital transformation with measurable ROI. CodeRoad gets you there — at full velocity.