Job Description
<h3>📋 Description</h3> • We’re seeking a Lead AI Engineer to drive innovation and delivery at the intersection of AI agent systems and scalable multi-tenant infrastructure.
• In this hands-on leadership role, you'll guide a small team of AI engineers and help define, build, and deploy next-generation AI applications—particularly those centered around chat agents and intelligent automation.
• This role is perfect for a senior-level engineer ready to take the next step into technical leadership while staying deeply engaged in coding, experimentation, and infrastructure.
• You’ll work across model orchestration, multi-tenant architectures, and AWS cloud environments—bringing clarity, velocity, and vision to our AI capabilities.
• **This is a remote role** <h3>🎯 Requirements</h3> • 5+ years of experience in software engineering, 2+ focused on AI/ML systems, with 2+ years in technical leadership or mentoring roles.
• Proven experience developing and deploying LLM-based agents (LangChain, CrewAI, AutoGen, etc.) in production environments.
• Deep understanding of multi-tenant systems, including tenant isolation, security, and shared resource optimization.
• Experience integrating with MCP services or AI orchestration layers for chat or task-based tools.
• Strong AWS experience; comfortable with infrastructure-as-code (Terraform), serverless compute, observability tooling, and scaling.
• Familiarity with modern MLOps and AI application patterns (e.g., vector DBs, retrieval-augmented generation, streaming inference).
• Excellent written and verbal communication skills – capable of representing team efforts to stakeholders and leadership.
• Comfortable pushing boundaries, trying new approaches, and driving continuous improvement in engineering practices.
• Nice to Have
• Prior experience in early-stage or high-growth environments where adaptability and rapid iteration are critical.
• Frontend familiarity (React/Next.js) for building AI chat UIs or admin dashboards.
• Experience with agent frameworks, model fine-tuning, or retrieval-augmented generation (RAG).
• Knowledge of SaaS security best practices in AI environments <h3>🏖️ Benefits</h3> • We are client obsessed.
• We stand in solidarity with our teammates.
• We prioritize personal health and well-being.
• We believe in the power of diversity.
• We solve hard problems at the speed of cyber.