Technical Lead - LLM & Gen AI

Tech Lead, LLM & Generative AI

Location: Remote, Europe

Employment type: Full-time

$/yr - $/yr

Connectorus Prime | You build. I find who makes it possible.

This is a senior, hands‑on technical leadership role within a high‑scale AI platform focused on conversational intelligence. The role owns the architecture and evolution of large language model systems used by a very large, active user base. You will lead a small team of AI engineers while remaining deeply embedded in the codebase. This is not a research‑only position. The work directly affects production systems operating at significant scale, with live user impact from day one.

The platform processes tens of millions of tokens per day and is growing rapidly. The LLM team is responsible for the core “chat loop”, including context management, retrieval pipelines, inference performance, and alignment strategies.

The environment includes explicit and unrestricted user interactions (NSFW), which introduces complex challenges around moderation, steerability, and safety. Blanket filters are not viable. The focus is on precise, context‑aware systems that balance user freedom with strict legal and ethical constraints.

• Act as a player‑coach, mentoring a small team while spending substantial time writing production code.
• Design and evolve the end‑to‑end LLM architecture, including inference pathways, memory handling, and latency optimisation.
• Collaborate closely with Dev Ops and web engineering to support scale and reliability.

• Define when to rely on prompting, when to fine‑tune, and when to introduce new retrieval or data pipelines.
• Lead supervised fine‑tuning and preference‑based optimisation approaches such as RLHF or DPO.
• Oversee dataset sourcing, labelling, cleaning, and evaluation to improve steerability and performance across user segments.

• Build and maintain high‑precision classifiers for detecting illegal or non‑consensual content within an explicit environment.
• Develop nuanced moderation logic that goes beyond binary allow or block decisions.
• Continuously refine alignment techniques based on real‑world usage and feedback.

• 8+ years of professional engineering experience, with a strong track record of shipping ML or LLM features at scale.
• Proven experience delivering AI systems used by large numbers of active users.
• Strong proficiency in Python and PyTorch.
• Hands‑on experience with modern LLM tooling and infrastructure, such as inference engines, fine‑tuning pipelines, and evaluation frameworks.
• Comfort working with NSFW content and the technical demands of moderating it without degrading user experience.
• Strong intuition for LLM behaviour, including how prompts, sampling, and parameters affect outputs.
• A pragmatic, delivery‑focused mindset with clear ownership of production quality and metrics.

• Experience operating high‑throughput, low‑latency AI systems.
• Familiarity with retrieval‑augmented generation and long‑context optimisation.
• Experience leading small, highly autonomous engineering teams.

• You will lead a small team of AI engineers and work closely with platform and infrastructure specialists.
• High autonomy, minimal process overhead, and direct access to senior technical leadership.
• Fully remote, with team members distributed across multiple countries.

• Fully remote working within Europe.
• Competitive paid time off.
• Annual in‑person team gathering.
• Wellbeing support budget and access to professional support services.
• Learning and development budget for courses, conferences, and materials.
• Equipment provision and home‑office support.
• Access to premium AI development tools.

Mid‑Senior level

Full‑time

Information Technology

Software Development and Technology, Information and Media