Senior AI Fullstack Developer
On-siteBuenos Aires, Buenos Aires F.D., Argentina or Bogotá, Bogota D.C., Colombia
Job Summary
Set architectural direction for products emerging from Labs, from prototype to production, while designing and building production-grade agentic workflows with retrieval, tool use, and safety guardrails. Serve as the senior technical voice in cross-team architectural decisions, establish technical standards, and mentor engineers to shape an autonomous engineering culture. Make significant individual contributions to the SaaS product across Azure and AWS, ensuring performance and quality for customer-facing applications. Implement automated testing practices, including evals for AI components, and collaborate with product and design across the full SDLC.
Required Qualifications
- 8+ years of professional software development experience
- 3+ years in senior, lead, or principal roles
- Deep code fluency: ability to pick up an unfamiliar codebase in any mainstream language and form a defensible opinion in days, not weeks
- Strong working command of both Azure and AWS
- Kubernetes in production
- Solid command of both SQL and NoSQL systems
- Demonstrable AI engineering chops: has shipped LLM-powered features to production
- Has designed agentic workflows end-to-end: planning, tool use, evaluation, failure-mode analysis, human-in-the-loop
- Proven track record of leading architectural initiatives and influencing decisions across teams
- Strong technical leadership and mentoring experience
- Solid grasp of SOLID, DRY, KISS, YAGNI, and TDD
- Comfortable ramping into the current stack: C#/.NET backend, Node.js/TypeScript and Vue.js frontend
- Advanced English
Desired Qualifications
- Working familiarity with Model Context Protocol (MCP), agent frameworks, and eval frameworks
- Experience deploying inference workloads on Azure (AI Foundry / Azure OpenAI) and/or AWS (Bedrock, SageMaker)
- Experience with Autodesk products and APIs (AutoCAD, Revit, Fabrication, BIM 360 Docs, Forge / APS)
- Construction, MEP, or manufacturing domain knowledge
- Experience leading large-scale system migrations or architectural transformations
- Familiarity with modern serverless technologies on either cloud
- Track record of establishing technical standards across engineering organizations
- Understanding of event-driven architectures and message-based integration
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