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- Tasks: Design and deploy advanced LLM-powered applications for our Payroll products.
- Company: Join Deel, a global leader in payroll and HR solutions.
- Benefits: Enjoy competitive pay, stock options, and flexible remote work.
- Why this job: Make a massive impact with cutting-edge AI technology in a diverse team.
- Qualifications: 12+ years in engineering, with expertise in Python and LLM applications.
- Other info: Be part of a connected culture that fosters innovation and learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Who We Are Is What We Do. Deel is the all‑in‑one payroll and HR platform for global teams, built to unlock global opportunity for every person, team, and business. With AI‑powered tools and a fully owned payroll infrastructure, we support every worker type in 150+ countries.
What You\’ll Do
- Design and deploy advanced LLM‑powered applications that support our Payroll product lines and operations.
- Lead architecture decisions, cost optimization, and observability efforts for mission‑critical AI workflows.
- Collaborate with ML researchers, product managers, and application engineers.
- Create massive impact by doing groundbreaking work in an already high‑scale product.
What You\’ll Bring
- 12+ years of engineering experience, ideally in ML systems or large‑scale software, with a strong foundation in system design and architecture.
- Hands‑on experience implementing research and algorithms in Python, focused on information retrieval, text processing, NLP, LLMs, and machine learning.
- Experience building production‑grade LLM applications, including fine‑tuning or adapting base models for domain‑specific tasks.
- Deep understanding of vector databases (e.g. Pinecone, Weaviate, FAISS) and how they fit into retrieval‑augmented generation and context retrieval pipelines.
- Python expertise for AI/ML development and Node.js familiarity for integration with product and application teams.
- Knowledge of prompt engineering, LLM API integration, and system reliability patterns for scaling AI in production.
- Experience with observability and cost optimization across AI infrastructure (tracing, metrics, performance tuning).
Bonus
- Cost tracking and model optimization for AI workloads.
- RAG implementations, LangChain/CrewAI experience.
- Background in classical ML or pre‑LLM NLP.
- Exposure to multimodal systems.
Benefits & Perks
- Stock grant opportunities dependent on your role, employment status and location.
- Additional perks and benefits based on your employment status and country.
- The flexibility of remote work, including optional WeWork access.
Equal Opportunity Statement
Deel is an equal‑opportunity employer that values diversity and encourages applications from suitable qualified candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or other protected characteristics.
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Staff ML Engineer (LLMS, NLP) employer: Deel
Contact Detail:
Deel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Engineer (LLMS, NLP)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your LLM projects. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common ML questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Staff ML Engineer (LLMS, NLP)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Staff ML Engineer role. Highlight your expertise in LLM applications, Python, and system design to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission at Deel. Share specific examples of your work that demonstrate your impact in previous roles.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving LLMs or NLP, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Deel
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss your experience with building production-grade LLM applications, as well as any specific projects you've worked on that relate to NLP and AI.
✨Showcase Your System Design Skills
Since the role requires strong system design expertise, prepare to talk about your past experiences in designing scalable systems. Think of examples where you made architecture decisions or optimised costs for AI workflows, and be ready to explain your thought process.
✨Familiarise Yourself with the Tech Stack
Get comfortable with Python and Node.js, as well as vector databases like Pinecone or Weaviate. If you have experience with observability tooling for AI systems, make sure to highlight that too. Being able to discuss these technologies will show you're a great fit for the team.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role, so think about how you've worked with ML researchers, product managers, and application engineers in the past. Be ready to share examples of how you contributed to team projects and how you can bring that collaborative spirit to Deel.
