Senior Full Stack Engineer – Enterprise AI, Automation

• Architect and ship end-to-end product features for a context-aware AI agent ecosystem
• Design robust REST/GraphQL APIs, performant PostgreSQL data models, and resilient asynchronous background job processing systems
• Build responsive, intuitive React frontend user interfaces integrated with TypeScript backend services
• Implement, evaluate, and optimize LLM agent workflows, including prompt engineering, tool integration, retrieval architectures, and runtime execution
• Maintain production reliability, observability, strict data privacy boundaries, and edge-case handling across complex, non-deterministic user flows
• Contribute to transformative projects for U.S. companies through Truelogic’s nearshore staff augmentation services

• Strong professional experience with modern TypeScript, React, REST/GraphQL APIs, and relational database design using PostgreSQL
• Proven capability in building asynchronous background jobs and distributed queues
• Production-level system debugging experience
• Hands-on experience or deep technical fluency in LLM/agent runtime architectures, tool calling, prompt engineering, and retrieval systems (RAG)
• Demonstrated track record of converting ambiguous product requirements and user behaviors into clean systems design and polished end-user interfaces
• Strong commitment to system correctness, data security/privacy boundaries, system observability, and edge-case handling
• Nice to have: background in fast-paced startup environments
• Nice to have: experience with LLM evaluations/fine-tuning
• Nice to have: prior work on multi-channel conversational tools, persistent memory, or agentic workflow platforms
• Reliable internet connection
• Must be currently based in Latin America

• 100% Remote Work
• Highly Competitive USD Pay
• Paid Time Off
• Work with Autonomy
• Work with Top American Companies
• Engagement activities
• Work-life balance
• Collaboration with a diverse, global network
• Opportunities to expand your professional network