At a Glance
- Tasks: Design and develop innovative AI products for enterprise coding solutions.
- Company: Join OutSystems, a global leader in low-code development and AI innovation.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI and make a real impact in tech.
- Qualifications: Ph.D. or MSc in relevant fields and 5+ years in AI engineering required.
- Other info: Be part of a diverse team that values creativity and innovation.
The predicted salary is between 48000 - 84000 ÂŁ per year.
As a Senior AI Engineer in our Artificial Intelligence Group, you will be working on our Mentor line of products. Your main role will be to design and bring to life AI products and features applied to the problem of Enterprise Vibe Coding (vibe coding for “serious software”), covering the full Software Development Lifecycle. To do this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools.
Key Responsibilities
- Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding;
- Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended;
- Work in an “eval-driven development” methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents;
- Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation;
- Collaborate with cross-functional teams to ship and iterate on production-grade AI products;
- Own the end-to-end development of AI features of a customer-facing product, ensuring software quality, observability and scalability;
- Be a thought leader in the space, advancing the field by putting the most forward ideas into practice in a large-scale project.
Qualifications / What You Need To Succeed
- Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued.
- 5+ years of work experience in Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production.
- Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued.
- Strong software engineering fundamentals and proficiency in Python are a must.
- Be creative, ambitious and curious. Be resourceful and innovative.
OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in.
We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents—fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration.
OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer.
Senior AI Engineer employer: OutSystems Inc.
Contact Detail:
OutSystems Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with OutSystems employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the OutSystems team and being part of our innovative culture.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experience aligns with our mission to innovate in the AI space, so don’t hold back on sharing your journey!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight relevant projects and experiences that showcase your skills in LLMs and AI engineering. We love seeing how you can contribute to our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your achievements and skills. We appreciate a well-structured application that makes it easy for us to see your potential.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at OutSystems Inc.
✨Know Your AI Stuff
Make sure you’re up to date with the latest trends in AI and Machine Learning. Brush up on In-Context Learning, Prompt Engineering, and Tool Calling techniques. Being able to discuss these topics confidently will show that you're not just a candidate, but a thought leader in the field.
✨Showcase Your Projects
Prepare to talk about your past projects, especially those involving LLMs and Agentic Systems. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you’ve worked with cross-functional teams. Highlight how you contributed to shipping production-grade AI products and how you iterated based on feedback. This will show you can thrive in a team environment.
✨Ask Smart Questions
Prepare insightful questions about the company’s AI initiatives and future projects. This not only shows your genuine interest but also gives you a chance to assess if the company aligns with your career goals. Remember, interviews are a two-way street!