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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI solutions, including chatbots and autonomous agents.
- Company: Join EVA.AI, a forward-thinking tech company powering HR 4.0.
- Benefits: Competitive salary, flexible hours, remote work, and growth opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience with LLMs, Generative AI, and proficiency in Python required.
- Other info: Dynamic team culture with opportunities for personal and professional development.
The predicted salary is between 48000 - 84000 £ per year.
About EVA.ai
Basically, EVA.ai is an A to Z solution for searching and matching great talent to the best jobs in the company, helping them with screening, interviews, etc. Our clients are as big and cool as the United Nations and growing. We’ve got an AI chatbot, AI Matching, AI Job Recommendation, etc. We believe in agile, practice SCRUM, follow SOLID principles and love innovations. We don’t hire juniors, so we are quite smart and quite efficient.
Position Description
We are looking for an AI Engineer to design, develop, and deploy LLM-based AI solutions, including chatbots and autonomous AI agents. This role requires hands-on experience in Generative AI, Large Language Models (LLMs), and AI-powered automation. As an AI Engineer, you will be responsible for fine-tuning models, implementing Retrieval-Augmented Generation (RAG), integrating AI systems via APIs, and optimizing performance for production environments. This position is fully remote, so you can work from anywhere.
Responsibilities
- Develop and fine-tune LLMs, AI Agents, and Generative AI models for real-world applications.
- Implement RAG (Retrieval-Augmented Generation), prompt engineering, and optimization techniques.
- Integrate AI models with APIs, databases, and business applications.
- Optimize AI model performance for accuracy, efficiency, and scalability.
- Stay updated on the latest AI advancements and experiment with state-of-the-art techniques.
- Write code, following SOLID practices, conducting tests, and participating in pair reviews.
- Collaborate with product analysts, customer success, designers, and other developers.
- Participate in SCRUM, especially retrospectives.
Requirements
- Education: Bachelor’s degree in Computer Science or a related field (or equivalent experience).
- Language: English.
- Knowledge of LLMs, Generative AI (GPT, Llama, etc.).
- Proficiency in Python, TensorFlow, PyTorch, LangChain, OpenAI APIs.
- Experience with fine-tuning and deploying LLMs on cloud platforms (AWS).
- Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases.
- Experience integrating AI models into applications via APIs or microservices.
- Experience designing and optimizing AI prompts for LLM-based applications.
Plus But Not a Blocker Will Be
- Experience with AI Agents and autonomous workflows.
- Knowledge of Conversational AI and chatbot development.
- 30 hours a week availability.
Compensation & Perks
- Competitive salary rate according to your level of experience (this vacancy is senior level).
- Fixed in local currency, USD or GBP.
- Share options and bonuses available as you fit KPIs and stay with us for more than 1 year.
- You manage your time; it’s not required to be available all day.
- Learning courses/conferences sponsorship.
- You can work less than 40 hours a week.
Opportunities to grow
- Discuss your individual growth plan with a CTO and set KPIs.
- Horizontal Growth: Improve yourself in optional technologies, English, Chatbots, Security, AI, Data Analysis, Product Analysis, Customer Facing Activities.
- Vertical Growth: Ability to become Lead Developer after some time and take responsibility for one or more microservices, or become Product Owner of one or more services.
Seniority level: Mid-Senior level
Employment type: Part-time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
AI Engineer in London employer: EVA.AI | Powering HR 4.0
Contact Detail:
EVA.AI | Powering HR 4.0 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals, which can double your chances of landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Generative AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the tech interview! Brush up on your coding skills and be ready to discuss your experience with Python, TensorFlow, and RAG. Practising common interview questions can help you feel more confident when the time comes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on this opportunity!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your experience with LLMs and Generative AI. We want to see how you've used these technologies in real-world projects, so don't hold back!
Tailor Your Application: Make your application stand out by tailoring it to the AI Engineer role. Use keywords from the job description, like 'Retrieval-Augmented Generation' and 'API integration', to show us you know what we're looking for.
Be Yourself: We love a bit of personality! Don’t be afraid to let your unique voice shine through in your application. Share your passion for AI and why you want to join our team at EVA.AI.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at EVA.AI | Powering HR 4.0
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss your hands-on experience with these technologies, especially in relation to fine-tuning models and implementing Retrieval-Augmented Generation (RAG). This is your chance to show off your expertise!
✨Showcase Your Coding Skills
Since coding is a big part of the role, be prepared to demonstrate your proficiency in Python, TensorFlow, and PyTorch. You might even be asked to solve a coding challenge during the interview, so practice writing clean, efficient code that adheres to SOLID principles.
✨Understand the Company Culture
EVA.AI values innovation and agility, so make sure you’re familiar with SCRUM practices and how they apply to AI development. Highlight any experience you have working in flat team structures and collaborating with cross-functional teams, as this will resonate well with their culture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s AI projects and future directions. This not only shows your genuine interest but also gives you a chance to assess if EVA.AI is the right fit for you. Think about how you can contribute to their mission of powering HR 4.0!
