AI Native Full Stack Engineer - Technical Lead

AI-Native Full Stack Engineer - Technical LeadSalary Range: $170k to $180k We're looking for an AI-Native Software Engineer - Technical Lead to help define and build the next generation of intelligent, agent-driven software systems. This role is ideal for someone who doesn't just experiment with AI—but actively uses it in production to ship real-world solutions. You'll operate at the intersection of engineering excellence and emerging AI capabilities, leading by example while helping teams adopt modern, AI-native development practices. What You'll Do • Design, build, and ship LLM-powered features in production environments • Architect and implement agentic systems (planning loops, tool usage, memory, multi-step execution) • Define best practices for human + AI collaboration across the development lifecycle • Partner with cross-functional teams to deliver scalable, high-impact solutions • Lead technical decisions and influence architecture without relying on formal authority • Establish standards for evaluation, observability, and safety in AI systems • Stay on top of the rapidly evolving AI landscape and bring practical innovations into the team What We're Looking ForAI-Native Mindset (Key Differentiator) • Daily use of tools like Claude Code, Cursor, Codex, or similar in production workflows • Strong judgment on what to delegate to AI vs. what requires human oversight • Hands-on experience shipping LLM-based capabilities (prompting, structured outputs, tool/function calling, streaming) • Experience building agentic workflows with tool integration, memory, and multi-step execution • Familiarity with RAG architectures, embeddings, and vector databases (e.g., Azure AI Search) • Experience with LLM evaluation frameworks (offline evals, golden datasets, LLM-as-judge) • Understanding of AI safety practices, including guardrails and prompt injection mitigation • Strong curiosity and habit of staying current with emerging models, tools, and researchEngineering Foundation • 7+ years of software engineering experience, including 2+ years in a technical leadership capacity • Strong computer science fundamentals (data structures, algorithms, distributed systems, concurrency) • Back-end expertise in one or more: C#/.NET, TypeScript/Node.js, Go, Python, Java, or Kotlin • Experience designing and building APIs (REST and/or gRPC) • Front-end proficiency with modern frameworks (React, Next.js, Angular, or Vue) and TypeScript • Strong database experience (SQL + NoSQL/event-driven systems like Redis, MongoDB, or Kafka) • Cloud-native development experience (Azure, AWS, or GCP), including containers and infrastructure-as-code • Experience with CI/CD pipelines and modern DevOps practices • Strong focus on observability, reliability, and secure development • Proven track record of delivering and operating production systems end-to-endLeadership & Impact • Lead through influence, mentorship, and high-quality execution • Communicate complex ideas clearly to engineers, product stakeholders, and executives • Challenge assumptions and push teams beyond passive alignment • Drive adoption of modern engineering and AI practices across teams Nice to Have • Experience building or operating multi-agent systems (e.g., LangGraph, Semantic Kernel, AutoGen) • Familiarity with agent orchestration, memory/state management, and tool registries at scale • Experience with event-driven architectures (Kafka, Event Hubs, NATS) • Exposure to model fine-tuning, distillation, or self-hosted inference • Background in B2B SaaS or domains like supply chain, procurement, or construction • Contributions to open source, technical writing, or speaking engagements in AI/engineering Why Join • Work on cutting-edge AI systems that are actually in production • Influence how modern engineering teams adopt and scale AI capabilities • Solve complex, real-world problems with high visibility and impact • Be part of a team that values practical innovation over hype