AI Engineering Manager
Indexed description
Apilex is a global legaltech company building AI that transforms how legal professionals work. Powered by a proprietary database of 200M+ court decisions and legal documents, our platform delivers semantic search, contract analysis, and automated legal drafting — turning days of legal research into seconds.
Since our founding, we've grown to a team of 90+ people and established ourselves as Türkiye's leading AI legal assistant. Now, we're taking it global — expanding into France, Germany, Brasil, Italy and Spain to compete in the billion-dollar legaltech market.
What sets us apart? We don't use off-the-shelf AI. We build domain-specific, closed-circuit AI models with multi-layered verification systems that eliminate hallucinations and deliver answers backed by real citations and legal reasoning. Every feature we ship changes how lawyers work, not in theory, but in practice.
Key Responsibilites
- Lead the AI & Data Ecosystem: Drive the end-to-end system design, delivery, and technical standards across both AI Development and Data Engineering squads.
- Own the Data-to-AI Pipeline: Oversee the full lifecycle of AI features in production, from unstructured data ingestion (Scraping, Chunking, Embedding) to architecture decisions, monitoring, and iteration.
- Architect Complex Workflows: Guide the team in designing highly reliable, multi-agent orchestration systems and advanced retrieval mechanisms (RAG, Graph RAG) tailored for high-stakes, precision-critical environments.
- Cross-Functional Synergy: Coordinate closely with Backend (Java/Go), Frontend, DevOps, and Product teams to ship cohesive, reliable, and secure AI-powered solutions.
- Drive Execution & Reliability: Own sprint planning and execution rhythm. Set and enforce rigorous standards for code quality, deployment practices, and LLM system reliability (guardrails, fallback strategies, zero-hallucination focus).
- Scale the Engineering Culture: Manage technical debt strategically without compromising velocity. Lead technical onboarding, mentor engineers, and build a culture of fast shipping, structured experimentation, and continuous learning.
What We're Looking For
- Proven AI & Data Leadership: 3+ years of engineering management or tech lead experience, specifically overseeing AI, LLM, or Data Engineering teams in fast-growing, high-delivery cadence startups.
- Deep Architectural Expertise: Hands-on experience architecting complex RAG pipelines, Graph RAG, and agentic workflows in production (including tool-use orchestration, multi-step routing, and human-in-the-loop designs).
- Tech Stack Fluency: Strong backend engineering foundation with proficiency in Python and/or Go, enabling you to effectively review code, guide architecture, and unblock your team.
- System Reliability at Scale: Strong understanding of observability, iteration loops, and evaluation metrics for AI systems, alongside scalable search, indexing, and vector retrieval systems.
- Precision Mindset: Experience building AI solutions for domains that require high accuracy, security, and strict compliance (handling complex, unstructured text with minimal error margins).
- Absolute Ownership: You hold the bar, you unblock the team, and you ship. You possess a strong product sense and the ability to translate complex technical constraints into simple, impactful solutions.
Why join us?
We're building the AI that lawyers rely on every day, across every area of their practice — the core of how thousands of legal professionals research, draft, and reason. You'll join a team solving one of the hardest challenges in AI: making it reliable enough for high-stakes, real-world decisions. We're scaling across Europe and Latin America, shipping fast, and setting the bar for what reliable AI looks like in legal.
Whatever your role, your work here will be visible and meaningful. We're one of the fastest-growing AI companies in Türkiye, and we're looking for ambitious people who want to build the future of legal technology on a global stage.
This is Apilex. AI for Legal. Join us.
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