SR2 | Socially Responsible Recruitment | Certified B Corporation™
Artificial Intelligence Engineer
SR2 | Socially Responsible Recruitment | Certified B Corporation™Germany15 hours ago
Full-timeRemote FriendlyConsulting, Engineering

Lead AI Engineer - Generative AI & NLP (€85,000 - €100,000)


Location: Germany (Hybrid – regular remote working)

Employment Type: Permanent

Salary: Competitive, transparent salary bands

Visa Sponsorship Unavailable


A leading European data and AI consultancy is supporting organisations across multiple industries with large-scale digital transformation initiatives. With a strong track record delivering production-grade data, machine learning, and AI solutions, the company partners with both mid-sized businesses and global enterprises to unlock value from data.


The team is now looking for a Lead AI Engineer with deep expertise in NLP, LLMs, and Generative AI to act as a subject matter expert across multiple client engagements and internal initiatives.


The Role

You’ll operate as a technical authority for NLP and Generative AI, supporting high-impact customer projects while shaping internal capabilities and offerings. This is a senior, hands-on role combining technical leadership, solution design, mentoring, and client-facing advisory work.

You’ll design and deliver scalable, production-ready GenAI systems while helping teams and clients navigate trade-offs around performance, latency, cost, and complexity.


What You’ll Be Doing

Technical Leadership and Expertise

  • Act as a subject matter expert and force multiplier for NLP, LLM, and agent-based systems across multiple projects.
  • Take end-to-end ownership of one or more focus areas within NLP and Generative AI.
  • Serve as the primary technical point of contact for complex AI topics.


Solution Design and Delivery

  • Lead the technical design of NLP and GenAI systems addressing real-world business challenges.
  • Architect solutions with a strong focus on scalability, robustness, latency, and cost efficiency.
  • Ensure AI systems are production-ready and meet enterprise-grade standards.


Client and Stakeholder Engagement

  • Work as a technical lead on customer projects, collaborating closely with client stakeholders.
  • Present solution concepts and guide technical discussions during delivery, proposal, and acquisition phases.
  • Translate complex AI concepts for both technical and non-technical audiences.


Mentorship and Team Enablement

  • Guide and support less experienced team members.
  • Provide constructive feedback and hands-on mentoring.
  • Contribute to building internal best practices and standards.


Innovation and Thought Leadership

  • Contribute to internal product development and expansion of the GenAI service portfolio.
  • Support technical marketing, enablement, and thought leadership activities.
  • Continuously track advancements in NLP, LLMs, tools, and research and apply them in practice.


What We’re Looking For

Core Experience

  • 5+ years of professional experience in data science, NLP, machine learning, or Generative AI.
  • Proven experience building and deploying NLP- and LLM-based systems in production environments.
  • Deep knowledge of LLM APIs, agent frameworks, vector databases, retrieval approaches, and evaluation techniques.
  • Strong experience with modern ML frameworks such as PyTorch.
  • Hands-on experience with fine-tuning, post-training, and inference-time optimisation.


Engineering and Architecture

  • Ability to write clean, performant, and scalable production code.
  • Experience designing cloud-based architectures.
  • Familiarity with MLOps, CI/CD, and deployment workflows on AWS, Azure, or GCP.


Consulting and Communication

  • Confident acting as a technical counterpart to customers.
  • Strong communication skills across technical and business audiences.
  • Structured, proactive, and independent working style.


Languages

  • Very good German and English skills (C1 level or higher).


What’s On Offer

  • Challenging data and AI projects across a wide range of industries
  • Clear opportunities for professional and personal development
  • Structured feedback, learning paths, and mentoring programmes
  • Open, collaborative culture with flat hierarchies and fast decision-making
  • Flexible hybrid working with a modern office base in Germany
  • Transparent and market-aligned salary bands
  • Additional benefits including mobility support, wellness programmes, high-quality equipment, and regular team events

Key Skills

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