AI Engineer

NiCE; London; Hybrid; GBP 50,000 - 120,000; Full time

Job summary

NiCE is seeking a highly skilled AI Engineer to join their AI research team, focusing on developing and optimizing generative AI capabilities. Candidates should have extensive experience in Python programming and a collaborative mindset, ready to innovate and enhance customer experiences with AI. The role offers a hybrid working model and opportunities for growth in a leading technology company.

Benefits

Flexible hybrid working model

Endless internal career opportunities

Qualifications

• 3+ years of Python development experience required.
• Experience with backend APIs and generative AI models is critical.
• Familiarity with CI/CD and testing practices is preferred.

Responsibilities

• Design and implement AI models for product integration.
• Collaborate with teams to translate business goals into AI solutions.
• Mentor peers and contribute to a knowledge-sharing culture.

Skills

Python development

Backend API development

Generative models

CI/CD

Testing skills

Tools

Git

Flask

FastAPI

PyTorch

Docker

Job description

Join to apply for the AI Engineer role at NiCE

Join to apply for the AI Engineer role at NiCE

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

• Python development experience (3+ years)
• 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)
• Some basic devops experience useful (kubectl, helm, etc.)
• Cloud platform experience, especially from an ML standpoint (AWS preferred)
• Statistical testing experience
• Basic AWS resource management, including microservice deployment.
• 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!

Enjoy NiCE-FLEX!

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

Role Type: Individual Contributor.

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 to race, 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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