At a Glance
- Tasks: Design and deploy AI systems that enhance products and operations.
- Company: Dynamic translation and language services group with a global presence.
- Benefits: Hybrid working, access to cutting-edge AI tech, and a collaborative culture.
- Other info: Stay current with new AI frameworks and enjoy excellent career growth opportunities.
- Why this job: Shape AI strategy and make a real impact in an innovative environment.
- Qualifications: Bachelor’s degree in relevant field and 3+ years of software development experience.
The predicted salary is between 60000 - 80000 € per year.
Alpha CRC is a dynamic translation and language services group, operating across multiple geographies and serving a diverse client base. With several businesses under our umbrella and offices in key global markets, we pride ourselves on delivering high-quality, culturally nuanced language solutions. We are looking for a skilled AI Engineer to design, build, and deploy AI-powered systems that enhance our products and operations. This role combines software engineering, machine learning, and practical problem-solving. You will work across the full lifecycle of AI development—from model integration and prompt optimization to pipeline deployment and monitoring—maintaining high-quality code and evaluating the performance of the systems you develop.
Tasks
- Implement multi-agent architectures using frameworks such as CrewAI to orchestrate complex AI tasks and workflows.
- Fine-tune transformer models using techniques such as LoRA, PEFT, or supervised fine-tuning to improve performance on domain-specific tasks.
- Evaluate model performance, run experiments, and optimize for accuracy, latency, and reliability.
- Design and implement end-to-end AI pipelines (data ingestion, feature engineering, inference).
- Collaborate with cross-functional teams to define requirements and deliver AI solutions that meet business goals.
- Implement retrieval-augmented generation (RAG), prompt engineering, or agent-based architectures as appropriate.
- Maintain high-quality code through testing, documentation, and best practices.
- Monitor and troubleshoot production AI systems, ensuring high availability.
- Stay current with new AI frameworks, models, and tooling.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
- 3+ years of professional software development experience.
- Strong Python programming skills.
- Hands-on experience with machine learning frameworks: PyTorch, TensorFlow, scikit-learn.
- Experience working with LLMs, embedding models, or AI APIs (OpenAI, Azure OpenAI, HuggingFace, etc.).
- Knowledge of building and consuming APIs (REST, GraphQL).
- Experience with version control (Git) and modern development workflows.
- Strong problem-solving and communication skills.
Preferred
- Experience fine-tuning large language models using HuggingFace or similar frameworks.
- Experience running local models with Ollama or similar inference platforms.
- Experience with RAG pipelines and vector databases (Pinecone, FAISS, Chroma).
- Background in NLP, computer vision, or deep learning.
- Experience optimizing models for performance or cost (quantization, distillation).
Benefits
- Hybrid working options.
- Access to cutting-edge AI technologies and cloud environments.
- Opportunities to shape AI strategy and build impactful solutions.
- A supportive, collaborative, and innovation-driven culture.
Please submit your CV and a short statement of interest. Applications will be reviewed on a rolling basis.
AI Engineer employer: Alpha
Alpha CRC is an exceptional employer for AI Engineers, offering a vibrant work culture that fosters innovation and collaboration. With access to cutting-edge AI technologies and hybrid working options, employees are empowered to shape AI strategies and build impactful solutions while enjoying a supportive environment that prioritises professional growth and development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Network Like a Pro
Get out there and connect with people in the AI field! Attend meetups, webinars, or industry conferences. You never know who might be looking for an AI Engineer just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Whether it's GitHub repos or personal projects, let your work speak for itself. This is your chance to shine and show potential employers what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and maybe even do mock interviews with friends. Confidence is key!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI and software development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Statement of Interest:Your statement should reflect your passion for AI and how you can contribute to our team. Share specific examples of your work and why you're excited about the opportunity at Alpha CRC. We love hearing your story!
Showcase Your Problem-Solving Skills:In your application, give us a glimpse into how you tackle challenges. Whether it’s through a project or a specific problem you solved, we want to know how you think and approach complex tasks in AI development.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Alpha
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks and models, especially those mentioned in the job description like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about times when you had to optimise model performance or troubleshoot production systems, and be ready to explain your thought process.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to discuss how you've successfully collaborated with others in the past. Highlight any experiences where you defined requirements or delivered solutions that met business goals.
✨Stay Current and Curious
Demonstrate your passion for AI by discussing recent developments in the field. Mention any new frameworks or tools you've been exploring, and show that you're committed to continuous learning and staying ahead of the curve.