高级AI全栈开发工程师

Join as a Software Engineer to build AI full-stack solutionsand shape an engineering culture that values autonomy, creativity, and technical excellence. 🚀
🌟 What do we offer?

• A central role in the team that defines the next products, not just maintains the existing ones

• End-to-end ownership of the agentic AI layer on top of what Labs ships

• AI-assisted development as a first-class practice, Claude Code, Cursor, Copilot, with the autonomy to exercise real engineering judgment

• Modern, multi-cloud stack: MongoDB + SQL, Azure + AWS

• Real influence over architecture, technical standards, and engineering culture beyond your immediate team

• A high-bar technical environment where your architectural decisions impact multiple teams and products

🧑🏻‍💻 Responsibilities:

• Set architectural direction for products emerging from Labs, from prototype to production

• Design and build production-grade agentic workflows: retrieval, tool use, multi-step planning, human-in-the-loop checkpoints, and safety guardrails

• Be the senior technical voice in architectural decisions that span multiple teams

• Establish technical standards and engineering practices that extend across the organization

• Make significant individual contributions to the SaaS product across Azure and AWS

• Collaborate with product, design, and engineering across the full SDLC

• Mentor and guide engineers and actively influence engineering culture

• Ensure performance, quality, and responsiveness of customer-facing applications and the agentic systems built on top of them

• Implement and maintain modern automated testing practices, including evals for AI components

• Contribute to modernization and consolidation of legacy surfaces as integration touch points emerge

🤝 If you have:

• 8+ years of professional software development experience, with 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, language is a tool, not an identity

• Strong working command of both Azure and AWS and the tradeoffs across container orchestration, serverless, messaging, identity, and managed data stores

• Kubernetes in production

• Solid command of both SQL and NoSQL systems

• Demonstrable AI engineering chops: has shipped LLM-powered features to production; comfortable with retrieval, embeddings, tool calling, structured outputs, and cost/latency tradeoffs

• Has designed agentic workflows end-to-end: planning, tool use, evaluation, failure-mode analysis, human-in-the-loop; can articulate when an agent is the right answer and when a deterministic pipeline is

• 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; applies them when warranted

• Comfortable ramping into the current stack: C#/.NET backend, Node.js/TypeScript and Vue.js frontend, and into whatever Labs ships next

• Advanced English

🦾 It’s a plus:

• 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

This call is made within the framework of Law 19.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development
Originally posted on Himalayas