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For Companies At a Glance
- Tasks: Build and deploy cutting-edge GenAI applications from model integration to user-friendly interfaces.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by empowering users with advanced AI capabilities in their workflows.
- Qualifications: 4+ years in software engineering, with strong skills in ML and AI systems.
- Other info: Dynamic team environment with a focus on collaboration and rapid iteration.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a versatile GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You will build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.
What you’ll do:
- Build and deploy end-to-end GenAI capabilities, from model integration through to production APIs.
- Integrate and optimise LLMs using prompt engineering, RAG, and tool/agent patterns.
- Develop conversational and agentic workflows that support complex planning use cases.
- Own model quality, latency, reliability, and cost efficiency in production.
- Implement evaluation frameworks, monitoring, and observability for GenAI systems.
- Collaborate with product and UI engineers to ensure GenAI features are usable and intuitive.
- Iterate quickly based on real user feedback and system metrics.
Required Qualifications:
- 4+ years of software engineering experience with 2+ years focused on ML/AI systems.
- Strong programming skills in Python including experience with ML frameworks (PyTorch, TensorFlow, Transformers).
- Experience building and deploying LLM-powered applications in production.
- Proficiency in front-end development with React, TypeScript, and modern web technologies.
- Understanding of RESTful API design, microservices architecture, and cloud infrastructure.
- Experience with prompt engineering, RAG systems.
- Strong foundation in ML fundamentals including NLP, time-series analysis, or recommender systems.
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
Generative AI Engineer employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GenAI applications. This gives you a chance to demonstrate your expertise in model integration and prompt engineering, making you stand out.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with Python, ML frameworks, and how you've tackled real-world problems. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML/AI systems and software engineering. We want to see how your skills in Python, LLMs, and front-end development align with what we're looking for!
Showcase Your Projects: Include any relevant projects that demonstrate your ability to build and deploy GenAI applications. We love seeing real-world examples of your work, especially if they involve prompt engineering or conversational workflows.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about GenAI and how your background makes you a great fit for the role. We appreciate a personal touch that shows you've done your homework on us.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
How to prepare for a job interview at SearchWorks
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PyTorch, and TensorFlow. Brush up on your knowledge of RESTful APIs and microservices architecture, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or deployed LLM-powered applications. Highlight your role in integrating models and any challenges you faced, along with how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand Prompt Engineering
Since prompt engineering is a key part of the role, be ready to explain your approach to optimising LLMs. Bring examples of how you've used prompt engineering in past projects to improve model performance or user experience.
✨Collaborate and Communicate
Emphasise your ability to work with product and UI engineers. Prepare examples of how you’ve collaborated in the past to create intuitive user interfaces for AI features. Good communication skills are essential, so practice articulating your thoughts clearly.
