AI Native Full Stack Engineer - Technical Lead

AI-Native Full Stack Engineer - Technical Lead

Salary 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 For

AI-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 research

Engineering 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-end

Leadership & 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