AI Senior Software Engineer
Role details
Job location
Tech stack
Job description
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., We're looking for a technically strong engineer who is genuinely excited about AI - not because it's a trend, but because they've already been using it to do better work and they want to go further. This person doesn't wait for training programs or permission to level up. They experiment on their own, stay ahead of what's available, and bring what they learn back to the team.
You have real engineering depth - you know how to design systems, write code that holds up in production, and solve hard problems. You also have real AI experience: you've worked with LLMs and AI tools in ways that go beyond surface-level prompting. You understand the trade-offs, you've seen where these tools break down, and you've figured out how to get the most out of them anyway.
What sets you apart is the hunger. You're the kind of engineer who reads the release notes, follows what's shipping in the AI space, and finds ways to apply it before anyone asks you to. You want to be at the front of where this is going - and you're willing to put in the work to get there.
WHAT YOU'LL DO
- Design, build, test, and ship software across the full development lifecycle
- Use AI coding tools and Agentic AI Workflows actively in your day-to-day work - for code generation, review, testing, debugging, and documentation
- Write clean, well-structured, Code and/or specification docs, leveraging AI as a partner, and also take responsibility for its quality in production. Take responsibility for its quality in production
- Collaborate with product managers, designers, and other engineers to understand requirements and deliver working solutions
- Apply prompt engineering and Agentic coding techniques to accelerate your work and improve output consistency
- Participate in code reviews, technical discussions, and team planning
- Evaluate and adopt new AI tools and approaches as the landscape evolves
- Contribute to shared engineering standards and help raise the bar for how the team uses AI
Requirements
Engineering Fundamentals
- Solid experience in backend, frontend, or full-stack software development
- Proficiency in one or more modern programming languages and frameworks
- Comfortable working with APIs, distributed systems, and software integrations
- Strong understanding of testing practices, code quality, and software design principles
AI & LLM Experience
- Hands-on experience using AI coding tools in real development work - not just exploration or hobby projects
- Practical knowledge of how LLMs work, where they're effective, and where they fall short
- Experience with prompt engineering - writing, iterating, and evaluating prompts for reliable output
- Familiarity with agents, tool use, or AI-assisted workflow automation
- Working understanding of LLM constraints: context windows, token costs, latency, and output variability
Communication & Collaboration
- Communicates clearly in both technical and non-technical conversations
- Writes documentation, specs, and code comments that others can actually use
- Works well in cross-functional teams and gives constructive code review feedback
- Takes ownership end-to-end - not just the assigned task, but the outcome
NICE TO HAVE
- Experience in CX, contact center, or enterprise SaaS environments
- Familiarity with CCaaS platforms, voice/chat AI, or customer-facing AI products
- Exposure to building or tuning agentic systems or multi-step AI pipelines
- Experience contributing to shared tooling, internal platforms, or developer experience improvements, If you're a strong engineer who uses AI as a genuine part of how you work - not as a buzzword - we'd like to hear from you. We care more about what you've built and how you think than where you went to school or what your title was.
Benefits & conditions
- A team that treats AI fluency as a professional standard - you won't be the only one who takes this seriously
- Access to modern AI tools, frameworks, and the space to experiment and improve how you work
- Real ownership - you'll be trusted to make decisions and see your work through to production
- A culture of continuous improvement, where how we build is as important as what we build
- Clear paths to grow into specialized engineering roles as your skills and interests develop
