AI Engineer

AI Engineer

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
N

At a Glance

  • Tasks: Join our team as an AI Engineer, optimising generative AI models for top-notch customer experiences.
  • Company: NICE is a global leader in AI and cloud solutions, serving over 25,000 businesses worldwide.
  • Benefits: Enjoy a hybrid work model with 2 office days and 3 remote days, plus endless career growth opportunities.
  • Why this job: Be part of a dynamic team that drives innovation and challenges the status quo in AI technology.
  • Qualifications: Experience in Python APIs, source control, and generative models is essential; familiarity with NLP is a plus.
  • Other info: NICE values diversity and is committed to equal opportunity employment.

The predicted salary is between 36000 - 60000 £ per year.

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are seeking a highly skilled and experienced AI Engineer to join the NiCE CXone Mpower Proactive AI Agent research team. In this role, you will play a key role in the success of our AI delivery, ensuring performance to the highest standards.

You’ll be part of a multidisciplinary team focused on delivering enterprise-grade AI capabilities, including generative AI, agentic AI, LLMs and RAG (retrieval-augmented generation).

The AI Engineer will optimise prompts to generative AI models across NiCE\’s Proactive AI Agent applications, working with several groups in the business to help our applications deliver the highest quality customer experience.

How will you make an impact?

  • Design and implement models that seamlessly integrate advanced AI technologies into our products.
  • Collaborate with product and engineering teams to translate business goals into scalable, effective AI solutions.
  • Work closely with other AI teams across R&D to build and maintain a unified AI strategy.
  • Drive innovation by staying current with the latest advancements in AI and applying them to real-world use cases.
  • Enhance the performance, scalability, and reliability of AI-powered services in a production environment.
  • Mentor peers and contribute to a collaborative, knowledge-sharing team culture.
  • Review production prompts for problems and potential improvements.
  • Help evaluate evolving AI-based tools from other members of the Research team.
  • Stay informed about new advances in AI Engineering.

Have you got what it takes?

Required

  • Experience writing Python backend APIs (e.g. Flask or FastAPI)
  • Experience writing Python packages
  • Source control experience (git)
  • Writing clear, documented, easy to maintain code
  • Experience with CI/CD and Python test suites (e.g. pytest)
  • Experience using generative models, prompting and testing at scale
  • Familiarity with best practices in AI Engineering, to include differences in prompts between major LLM vendors.
  • Ability to develop and maintain good working relationships with cross-functional teams.
  • Ability to clearly communicate and present to internal and external stakeholders.

Nice to have, but not essential

  • NLP/Deep learning experience (e.g. huggingface, spaCy)
  • Deep learning framework experience (preferably PyTorch)
  • MLOps experience (e.g. data and model versioning, model deployment CI/CD, MLFlow/DVC)
  • Cloud platform experience, especially from an ML standpoint (AWS preferred)
  • Statistical testing experience
  • Experience with AWS Bedrock
  • Experience with C#
  • Containerization via Docker.
  • Awareness of basic data science and generative AI methods.
  • Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 7522

Reporting into: Director, Product, CX

#LI-Hybrid

About NICE

NICELtd.(NASDAQ: NICE)software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences,fight financial crimeand ensure public safety.Every day, NICE software managesmore than120 million customer interactions and monitors3+billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard torace, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Do you have any first-degree relatives (spouse, parent, child, sibling) that are currently employed by NICE or any of its subsidiaries? * Select…

Have you ever worked at NICE or any of it\’s subsidiaries? * Select…

Do you now or in the future require visa sponsorship? * Select…

By checking this box, I agree to allow NICE to store and process my data for the purpose of considering my eligibility regarding my current application for employment. *

By checking this box, I agree to allow NICE to retain my data for future opportunities for employment for up to 365 days after the conclusion of consideration of my current application for employment.

#J-18808-Ljbffr

AI Engineer employer: NICE

At NICE, we foster a dynamic and innovative work culture that empowers our employees to challenge limits and drive meaningful change in the AI landscape. With a commitment to professional growth, we offer extensive internal career opportunities and a flexible hybrid working model that promotes collaboration and creativity. Join us in a vibrant environment where your contributions directly impact customer experiences for over 25,000 global businesses.
N

Contact Detail:

NICE Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer

✨Tip Number 1

Familiarise yourself with the latest advancements in AI technologies, especially generative AI and LLMs. This knowledge will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying current.

✨Tip Number 2

Network with professionals in the AI community, particularly those who work at NICE or similar companies. Engaging in discussions on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during the interview process.

✨Tip Number 3

Prepare to discuss your experience with Python backend APIs and CI/CD processes in detail. Be ready to share specific examples of projects where you've implemented these skills, as this will showcase your technical expertise and problem-solving abilities.

✨Tip Number 4

Demonstrate your ability to collaborate with cross-functional teams by preparing examples of past experiences where teamwork led to successful outcomes. Highlighting your communication skills and collaborative mindset will resonate well with the hiring team at NICE.

We think you need these skills to ace AI Engineer

Python backend API development (Flask or FastAPI)
Experience with source control (git)
Writing clear, documented, maintainable code
CI/CD and Python test suites experience (e.g. pytest)
Experience with generative models and prompting at scale
Familiarity with best practices in AI Engineering
Ability to develop and maintain cross-functional relationships
Strong communication and presentation skills
NLP/Deep learning experience (e.g. huggingface, spaCy)
Deep learning framework experience (preferably PyTorch)
MLOps experience (e.g. model deployment CI/CD, MLFlow/DVC)
Cloud platform experience, especially AWS
Statistical testing experience
Experience with AWS Bedrock
Containerization via Docker
Awareness of basic data science and generative AI methods
Exposure to generative AI application frameworks (e.g. LangChain, LlamaIndex)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience, especially in Python backend APIs, generative models, and AI Engineering best practices. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of NICE's mission. Mention specific projects or experiences that align with the responsibilities of the AI Engineer role.

Showcase Your Technical Skills: In your application, clearly outline your technical skills related to Python, CI/CD, and any experience with cloud platforms like AWS. Provide examples of how you've applied these skills in previous roles.

Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Emphasise your ability to communicate effectively with both technical and non-technical stakeholders.

How to prepare for a job interview at NICE

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Python backend APIs, especially Flask or FastAPI. Highlight specific projects where you've implemented these technologies and be ready to explain your coding practices, including how you ensure your code is clear and maintainable.

✨Demonstrate Your Knowledge of AI

Familiarise yourself with the latest advancements in AI, particularly in generative models and LLMs. Be ready to discuss how you've applied these technologies in real-world scenarios and how they can enhance customer experiences.

✨Emphasise Collaboration

Since the role involves working with cross-functional teams, prepare examples that showcase your ability to communicate effectively and build relationships. Discuss any past experiences where collaboration led to successful project outcomes.

✨Prepare for Problem-Solving Questions

Expect questions that assess your problem-solving skills, particularly in optimising AI models and prompts. Think of specific challenges you've faced in previous roles and how you approached them, focusing on the impact of your solutions.

N
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>