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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer Consultant - **Company:** Inter-American Development Bank - **Location:** Washington, DC, United States (Remote available) - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** JavaScript (Programming Language), .NET Framework, Microsoft Windows, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Data Governance, DevOps, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, Node.Js, Software Reliability Testing, Microsoft SharePoint, Software Engineering, Systems Architecture, Systems Integration, TypeScript, Microsoft Power Automate, GitHub Copilot, ReactJS, Large Language Models, Express.js, Generative AI, Backend, Fastapi, Vue.js, AngularJS, Information Technology, Front End Software Development, Restful APIs, Powerapps, Docker - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c6998cc9fcbd09ee ## About the Role Education: master's degree (or equivalent advanced degree) in Computer Science, Software Engineering, Information Technology, or other fields relevant to the responsibilities of the role. Experience: At least 5 years of progressive experience in full stack development and the delivery of technology solutions, including at least 2 years working with Generative AI / LLM-based solutions. Languages: Proficiency in Spanish and English, spoken and written, is required. Additional knowledge of French and Portuguese is preferable. Additional Skills * Programming: Python, JavaScript/TypeScript, C#/.NET, Node.js * Frontend development: React, Angular, Vue.js * Backend & APIs: RESTful APIs and server-side frameworks (FastAPI, Express.js, .NET) * Microsoft 365 & SharePoint: SharePoint Online, SPFx, Power Platform (Power Automate, Power Apps), M365 integration * Software design: system architecture, scalable application design, and best practices * Generative AI: LLM-based development and AI coding tools (Claude Code, GitHub Copilot, Gemini) * MCP & agentic systems: Model Context Protocol, tool use, and function-calling integrations * AI evaluation & observability: evals, tracing, prompt quality, guardrails, and reliability testing * Cloud & data: Azure and AWS, plus SQL Server/PostgreSQL and MongoDB (plus) * DevOps, FinOps & communication: CI/CD, Docker, IaC, cost tracking/monitoring, and stakeholder support ## Description We are looking for a skilled, proactive, and collaborative AI Solutions Engineer. As AI Solutions Engineer, you will provide expert technical support to teams across the Bank, helping them move from an initial idea to a working prototype with emerging technologies and generative AI. You will also monitor the adoption, usage, and performance of the tools and initiatives you support. You will work in TechLab, the Bank's Emerging Technologies Laboratory. TechLab acts as an enabler that facilitates the responsible adoption of emerging technologies, across the organization, advancing the IDB's journey toward becoming an AI-driven institution. What you'll do As AI Solutions Engineer, your responsibilities are as follows: * Provide expert technical support to users, helping them turn a need into a viable solution with emerging technologies and Generative AI. * Recommend the most suitable tools and implementation approaches for each case. * Design solution architectures aligned with the Bank's accredited and approved standards. * Support the development and review of prototypes, applying good engineering and security practices. * Define and maintain reusable standards, templates, and assets to accelerate new initiatives. * Build and curate a knowledge base of use cases and best practices. * Monitor the adoption, usage, and performance of the tools and initiatives you support. * Produce periodic reporting on adoption, productivity, and impact to inform decision-making. * Ensure compliance with the Bank's data governance and security rules. * Collaborate with relevant teams and support the lead in advancing promising initiatives. ## Related Videos - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Common Mistakes in Vue.js and How to Avoid Them](https://www.wearedevelopers.com/videos/958-common-mistakes-in-vue-js-and-how-to-avoid-them) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)