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- Tasks: Lead a team in designing and deploying cutting-edge conversational AI systems.
- Company: Join a high-growth tech company revolutionising AI products for global users.
- Benefits: Enjoy competitive pay, remote work, generous time off, and wellness support.
- Other info: Work in a fast-paced, autonomous environment with excellent career growth opportunities.
- Why this job: Make a real impact on AI technology that enhances user experiences worldwide.
- Qualifications: 8+ years in software engineering with expertise in machine learning and Python.
The predicted salary is between 80000 - 100000 £ per year.
We’re partnering with a high-growth technology business building advanced conversational AI products used by a global user base. They are now looking to hire a Tech Lead – LLM & Generative AI to take ownership of their model ecosystem — leading a small team while remaining hands-on in the design, development, and deployment of large-scale AI systems. This is a unique opportunity to work on production-grade AI at scale, where your work directly impacts live user experiences.
The Role
As Tech Lead, you will combine technical leadership with hands‑on engineering, shaping how models are built, optimised, and deployed in a high-performance environment. You’ll play a key role in defining architecture, improving model behaviour, and ensuring systems operate efficiently and responsibly at scale.
Key Responsibilities
- Lead and mentor a small team of engineers while remaining actively involved in coding (Python/PyTorch)
- Design and optimise systems for real‑time conversational AI, including context management, retrieval, and latency
- Own the end‑to‑end model lifecycle, including fine‑tuning, evaluation, and deployment strategies
- Define when to leverage prompting, fine‑tuning, or architectural changes to improve performance
- Oversee data pipelines including dataset sourcing, labelling, and quality control
- Build and refine content moderation and classification systems, enabling safe and controlled outputs in complex environments
- Monitor model performance and continuously improve quality, scalability, and reliability
Requirements
- 8+ years’ experience in software engineering, with a strong focus on machine learning / LLMs
- Proven track record of building and deploying AI/ML systems in production environments at scale
- Strong hands‑on experience with Python and PyTorch
- Familiarity with modern LLM tooling and frameworks (e.g. Hugging Face, inference optimisation tools, evaluation frameworks)
- Experience working on products with large, active user bases
- Strong understanding of model behaviour, optimisation techniques, and alignment challenges
- Ability to balance technical excellence with delivery speed
- Comfortable taking ownership and operating in a high‑autonomy environment
- Experience working with conversational AI or real‑time systems
- Exposure to retrieval‑augmented generation (RAG) architectures
- Background working in fast‑paced, product‑led environments
What’s on Offer
- Competitive compensation
- Remote‑first working environment
- Generous paid time off
- Learning and development support
- Wellbeing and health benefits
- Access to leading AI tools and technologies
Tech Lead – LLM & Generative AI employer: DMCG Global
Contact Detail:
DMCG Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead – LLM & Generative AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This gives you a chance to demonstrate your hands-on experience and technical prowess beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Tech Lead – LLM & Generative AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Tech Lead role. Highlight your hands-on experience with Python and PyTorch, as well as any leadership roles you've had in AI/ML projects.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about conversational AI and how your background makes you a perfect fit for this position. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: In your application, don’t shy away from detailing your technical skills, especially around LLMs and generative AI. We want to see your familiarity with modern tooling and frameworks, so include relevant examples!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our remote-first team!
How to prepare for a job interview at DMCG Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and PyTorch. Brush up on your knowledge of LLMs and generative AI, as well as any relevant frameworks like Hugging Face. Being able to discuss these topics confidently will show that you're not just a leader but also a hands-on engineer.
✨Showcase Your Leadership Skills
Prepare examples of how you've led teams in the past, particularly in high-performance environments. Think about times when you mentored others or took ownership of projects. This role requires balancing technical excellence with team leadership, so be ready to demonstrate your ability to inspire and guide a small team.
✨Discuss Real-World Applications
Be prepared to talk about your experience with deploying AI/ML systems at scale. Share specific examples of how your work has impacted user experiences, especially in conversational AI. This will help the interviewers see the direct relevance of your background to their needs.
✨Ask Insightful Questions
Come equipped with questions that show your interest in the company’s goals and challenges. Inquire about their current model lifecycle processes or how they handle performance monitoring. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career aspirations.