AI Engineering Manager

lumaq; Fatih; Hybrid; TRY 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Private health insurance

Meal card allowance

Job summary

lumaq invites an AI Engineering Manager to lead the technical architecture of our autonomous software development platform and to serve as the strategic technical voice in front of Fortune 500 executives.

You will balance hands-on technical leadership with C-suite communication, mentoring the team and articulating complex AI architectures to CTOs and CIOs. The role emphasizes on-premise security, multi-agent orchestration, and scalable design.

Qualifications

• 8+ years in Software Engineering and AI
• 3+ years in a technical leadership role
• Proven ability to engage with C-level technical decision-makers
• Hands-on agentic AI experience with multi-agent orchestration frameworks

Responsibilities

• Provide architectural direction and mentorship to the engineering team
• Represent platform capabilities before Fortune 500 CTOs/CIOs
• Design production-grade multi-agent systems and workflows
• Ensure secure operation in air-gapped/on-premise environments with enterprise stacks

Skills

Executive communication

Technical leadership

Python

Distributed systems

API design

Containerization

RBAC security

C-level engagement

On-Premise architecture

Education

Bachelor's or Master's in CS/Software Engineering

Tools

LangGraph

CrewAI

AutoGen

Jira

GitHub Enterprise

GitLab

Kubernetes

Job description

Role Overview

As the AI Engineering Manager at lumaq.ai, you will lead the technical architecture of our autonomous software development platform while serving as the strategic technical voice in front of Fortune 500 C-level executives during sales engagements.

This role combines hands-on technical leadership (Multi-Agent Orchestration, Air-Gapped/On-Premise Architecture) with C-suite level communication strength. You will direct and mentor the engineering team while effectively showcasing lumaq.ai's technical depth and vision to enterprise decision-makers such as CTOs and CIOs.

Key Responsibilities

• Technical Leadership & C-Level Representation: Provide architectural direction and mentorship to the engineering team; represent the platform's technical capabilities and architecture before Fortune 500 CTOs/CIOs during key client engagements.
• Agent Architecture & Orchestration: Design production-grade Multi-Agent systems, code generation/analysis workflows, context management (RAG/Context), and self-healing error recovery mechanisms.
• Enterprise Security & On-Premise Integration: Ensure seamless, fully secure operation in air-gapped, on-premise, and private cloud environments, integrating with stacks like Jira, GitHub Enterprise, GitLab, and Kubernetes.
• Model Strategy & Performance: Architect model routing, cost/latency optimization, and evaluation (evals) frameworks across local LLMs (vLLM, Ollama) and commercial APIs.

Key Requirements

• Experience: 8+ years of total experience in Software Engineering and AI, with at least 3+ years in a technical leadership role (Engineering Manager, Head of Engineering, Lead Architect, or hands-on CTO/Director).
• Executive Communication & Field Presence: Proven ability to engage directly with C-level technical decision-makers and articulate complex AI architectures clearly and convincingly to top executives.
• Hands-On Agentic AI: Deep practical experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), tool calling, and local LLM serving.
• Software & Systems Architecture: Mastery of Python, distributed/asynchronous systems, API design, and event-driven architectures.
• On-Premise & Security: Practical experience deploying containerized stacks (Docker, K8s, OpenShift) in air-gapped/on-premise environments, with a strong grasp of RBAC and sandboxed code execution.
• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field.

Strong Plus

• Background as a founder, CTO, or VP of Engineering in early-stage B2B AI or DevTools companies.
• Experience building autonomous coding tools (e.g., Devin, Cursor, Copilot) or developer platforms.
• Experience in highly regulated, high-security industries such as Finance, Telecom, or Defense.

Benefits & Perks

• Pioneering AI-Native Factory: Lead the core technology powering the next era of enterprise software development.
• High-Impact Regulated Verticals: Directly transform software delivery for tier-1 enterprises in banking, insurance, telecommunications, and public sector.
• Flexibility & Autonomy: Hybrid work model within a highly collaborative, tech-first, and flat organizational structure.
• Enterprise Growth: Continuous technical impact in a fast-growing platform setting the standard for governed agentic SDLC.
• Comprehensive Benefits: Private health insurance and monthly meal card allowance.