Conversational AI Engineer at Well-funded AI recruiting startup

Conversational AI Engineer at Well-funded AI recruiting startup

Full-Time 36000 - 60000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the development of innovative conversational agents to transform hiring.
  • Company: Exciting AI recruitment startup with strong funding and rapid growth.
  • Benefits: Competitive salary, flexible work environment, and impactful career opportunities.
  • Other info: Join a dynamic team and make a real difference in the hiring process.
  • Why this job: Shape the future of work with cutting-edge AI technology in a massive market.
  • Qualifications: Experience in building LLM applications and a passion for solving complex problems.

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

You will lead the development of sophisticated conversational agents designed to revolutionise the global hiring process. By building scalable AI-powered interviewers and coaching tools, you will help bridge the gap between talented candidates and employers, eliminating the noise of traditional job boards through advanced natural language processing and intelligent matching algorithms.

Why this role is remarkable:

  • Opportunity to build at the forefront of the agentic AI revolution in a massive, outdated market
  • Join a well-funded startup backed by top-tier VCs following a successful launch and rapid user growth
  • Direct impact on shaping the future of work by creating more equitable and efficient hiring experiences

What you will do:

  • Develop and optimise conversational AI models for high-stakes applicant interviews and professional coaching
  • Design scalable backend systems to handle thousands of concurrent AI-driven interactions
  • Collaborate with product teams to refine matching algorithms that connect talent with the right opportunities

The ideal candidate:

  • Extensive experience building and deploying production-grade LLM applications and conversational interfaces
  • Strong background in software engineering with a focus on high-concurrency systems and API integrations
  • Passion for solving complex human problems through the application of cutting-edge machine learning technology

Conversational AI Engineer at Well-funded AI recruiting startup employer: Jack & Jill

Join a dynamic and innovative AI recruitment startup that is redefining the hiring landscape. With a strong focus on employee growth and a collaborative work culture, you will have the opportunity to make a direct impact on the future of work while working alongside passionate professionals in a well-funded environment. Enjoy the unique advantage of being part of a rapidly growing company that values creativity and offers meaningful challenges in the heart of the tech industry.

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Contact Detail:

Jack & Jill Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Conversational AI Engineer at Well-funded AI recruiting startup

Tip Number 1

Get to know Jack! Head over to our website and click 'Talk to Jack'. This is your chance to showcase your skills and ambitions directly, so be genuine and enthusiastic about what you can bring to the table.

Tip Number 2

Prepare for a chat with Jill! Think about how your experience aligns with the role of a Conversational AI Engineer. Brush up on your knowledge of LLM applications and be ready to discuss your past projects and achievements.

Tip Number 3

Network like a pro! Connect with others in the AI and tech space. Attend meetups or online events where you can share ideas and learn from others. You never know who might have a lead on your dream job!

Tip Number 4

Stay positive and keep exploring! If Jill doesn’t think you’re the right fit this time, don’t sweat it. Jack will help you find other fantastic opportunities that match your skills and aspirations.

We think you need these skills to ace Conversational AI Engineer at Well-funded AI recruiting startup

Conversational AI Development
Natural Language Processing (NLP)
Machine Learning
Software Engineering
API Integrations
High-Concurrency Systems
Scalable Backend Systems

Some tips for your application 🫡

Show Your Passion:When you're writing your application, let your enthusiasm for AI and recruitment shine through. We want to see that you’re genuinely excited about the role and how you can contribute to revolutionising the hiring process.

Tailor Your Experience:Make sure to highlight your relevant experience in building conversational AI models and high-concurrency systems. We love seeing how your background aligns with what we’re looking for, so don’t hold back on those details!

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your skills and experiences are easy to understand. Avoid jargon unless it’s absolutely necessary!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to connect with you and for you to get started on this exciting journey with us. Just follow the steps and let Jack guide you!

How to prepare for a job interview at Jack & Jill

Know Your AI Inside Out

Make sure you’re well-versed in the latest advancements in conversational AI and natural language processing. Brush up on your experience with LLM applications and be ready to discuss specific projects where you've built or optimised conversational interfaces.

Showcase Your Problem-Solving Skills

Prepare examples that highlight how you've tackled complex human problems using machine learning technology. Think about challenges you've faced in previous roles and how your solutions made a difference, especially in high-stakes environments.

Understand the Company’s Vision

Research the startup's mission and values. Be prepared to discuss how your skills align with their goal of revolutionising the hiring process. Showing genuine interest in their vision will set you apart from other candidates.

Collaborate Like a Pro

Since collaboration is key in this role, think of instances where you've worked with product teams or cross-functional groups. Be ready to share how you contributed to refining algorithms or systems, and how you can bring that collaborative spirit to their team.