Head of Engineering

We're hiring a Founding Head of Engineering to lead the technical vision, AI architecture, and engineering culture behind Aigenc. Ai. You'll work directly with the founders to turn the product vision into a reliable, scalable AI platform. This is a 01 company-building role for someone who can operate like a technical co-founder: defining architecture and making key AI and infrastructure decisions.

Responsibilities:

• Technical vision and roadmap: Translate the company's product vision and ambiguous customer problems into a clear technical strategy and execution roadmap.
• Platform and data infrastructure: Own secure data ingestion, reliable pipelines, and scalable back-end systems across campaign and performance data.
• Agentic workflows and AI skills: Build reliable orchestration across intent, planning, skill routing, prompt systems, retrieval, and multi-step AI workflows.
• Reliability and enterprise readiness: Build evaluation frameworks, observability, cost-performance, and automated testing for non-deterministic AI outputs.
• Engineering leadership: Recruit, mentor, and lead a high-ownership tech team with strong standards for speed, quality, and technical judgment.

Requirements:

• 10+ years of total experience in software/AI engineering.
• 3+ years in a leadership/management role, ideally managing other leads or senior ICs.
• Experience taking agentic AI or applied AI/ML systems into production environments.
• Strong technical judgment with the ability to make long-term architecture and infrastructure decisions.
• Ability to design scalable back-end systems, APIs, data pipelines, and low-latency workflows.
• Deep understanding of workflow decomposition, RAG pipelines, tool-calling logic, state management, evals, and reliability for AI systems.
• Hands-on with LangGraph, LangChain, Haystack, or similar agentic/LLM frameworks.
• Experience with model evaluation, retrieval systems, vector databases, multimodal analysis, scoring systems, and fine-tuning where needed.
• Strong engineering fundamentals across Python/Node, React, Postgres, Redis, queues, object storage, cloud infrastructure, and CI/CD.