🚀 Forward Deployed Engineer (Contract) – LATAM | $30/hour Remote

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🚀 Forward Deployed Engineer (Contract) – LATAM | Remote If you’re an experienced software engineer who enjoys building AI solutions, solving real business problems, and working directly with clients, this opportunity from Dual Logic could be a great fit. Dual Logic is looking for Forward Deployed Engineers to join client projects and help organizations turn generative AI ideas into reliable, production-ready solutions. 💼 Job Overview Position: Forward Deployed Engineer Company: Dual Logic Job Type: Independent Contractor / Freelance Location: Mexico / South America (LATAM) Work Mode: Fully Remote Rate: 💰 Workload: Up to 30 hours/week Experience: 3–5 years Duration: Short-term / Project-based Category: Engineering Top Skills: Python, TypeScript, PostgreSQL 🧑‍💻 About the Role As a Forward Deployed Engineer, you will work directly with clients and Dual Logic engagement leads to understand their technology environment, identify real problems, and build practical solutions. The role is not limited to writing new code. You may take over an existing prototype, undocumented codebase, or AI agent and turn it into something that is stable, secure, reliable, and easier for the client to use. Projects can vary depending on the client. Some may involve a short technical review, while others can include building AI applications or supporting a longer-term engagement. 🔧 What Will You Do? The selected engineer may be responsible for: Assessing existing technology stacks and systems Taking over and improving code written by other developers Rebuilding and stabilizing inherited applications Developing AI applications and intelligent agents Building retrieval systems and multi-step AI workflows Working with LLM APIs, prompting, tool use, and AI integrations Designing APIs and backend services Building secure integration layers between AI tools and business systems Managing authentication, secrets, and access controls Helping clients select suitable platforms and technologies Explaining technical decisions and trade-offs to business leaders Working with end users to improve adoption of AI tools Measuring usage and business impact Documenting solutions and transferring knowledge to client teams 🧠 Required Skills & Experience Candidates should have: 🐍 Python / TypeScript Strong experience with Python or TypeScript, with enough familiarity to work with the other language. 🤖 AI & LLM Experience Experience working with: LLM APIs Prompt engineering Retrieval systems AI agents Tool calling Multi-step or multi-agent workflows You should also understand the limitations and failure points of AI systems. 🗄️ Backend Development Knowledge of: PostgreSQL Relational databases API design Authentication Deployment pipelines Backend architecture 🔐 AI Security Understanding of: Secrets management Data classification Least-privilege access Secure integrations AI security practices 🤝 Client & Consulting Skills You should be comfortable: Working directly with clients Understanding unclear requirements Explaining technical concepts in simple language Managing changing project requirements Working independently Managing your time across multiple projects ⭐ Nice-to-Have Skills Additional experience with the following can strengthen your application: Microsoft Copilot Copilot Studio Azure AI Foundry Firebase / Firestore Cloud Functions Supabase React Next.js n8n Model Context Protocol (MCP) AI governance NIST AI Risk Management Framework Consulting or independent client work 🌍 How the Work Is Structured This is a project-based contractor role. Before starting an engagement, the company will explain: What the project involves Expected timeline Required hours Scope of work Projects can range from short fixed-scope assignments to builds or longer-term retainers. The workload can vary from a set number of hours per month to close to full-time. Engineers may be able to work on one or multiple projects, depending on availability and suitability. 💰 Compensation & Referral The listed rate is $30/hour, with work of up to 30 hours per week depending on the project. The opportunity also shows a +4,078 BTRST referral reward on Braintrust. 🌐 Who Is This Role Best For? This opportunity may be particularly suitable for: Software Engineers AI Engineers Backend Engineers Full-Stack Developers LLM / AI Application Developers Freelance Engineers Technical Consultants Engineers with client-facing experience If you have strong software engineering fundamentals and experience building practical AI solutions, this role could be worth exploring. Apply Now