At a Glance
- Tasks: Design and develop innovative AI software solutions using cutting-edge technologies.
- Company: Join a forward-thinking tech company leading the AI revolution.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with endless opportunities for innovation and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software development and AI, with strong coding skills in Java and Python.
The predicted salary is between 80000 - 100000 £ per year.
ROLE SUMMARY: The Principal AI Engineer is a senior technical expert responsible for designing, developing, and delivering high-quality software solutions. This role emphasizes deep technical proficiency, innovation, and hands-on development, including advanced work in AI technologies such as prompt engineering and large language models (LLMs). The ideal candidate will serve as a technical authority, proving concepts with the latest AI technology or practices in the form of a spike or proof of concept. This person will be responsible for pushing the boundaries of what is possible, turning vision or concept into a technical solution, driving best practices and ensuring scalability, performance, and security across systems.
WHAT YOU'LL BE DOING:
- Software Development: Design and implement complex, scalable, and secure applications. Write clean, efficient, and maintainable code in Java, Python, and other high-level languages.
- Technical Expertise: Provide architectural guidance and ensure adherence to best practices. Optimize system performance and troubleshoot critical issues.
- AI Development: Develop and refine prompt engineering strategies for LLM-based applications. Integrate and optimize Large Language Models (LLMs) into products and workflows. Collaborate with AI teams to improve model performance and user experience.
- Innovation & Research: Stay current with emerging technologies, frameworks, and AI advancements. Prototype and evaluate new tools and methodologies for adoption.
- Collaboration: Work closely with product managers, QA, and other developers to deliver high-quality solutions. Participate in code reviews and contribute to technical documentation.
- Process & Quality: Advocate for automation, testing, and continuous integration practices. Ensure compliance with security and regulatory standards.
WHAT YOU'LL BRING:
- Proven experience in software development, with at least a year in AI Development.
- Extensive experience in software development and system architecture.
- Proven ability to deliver complex projects with high technical standards.
- Strong technical background in Java, Python, and/or other high-level programming languages.
- Expertise in designing scalable and secure systems.
- Hands-on experience with AI tools and frameworks, including:
- Prompt Engineering for LLMs (e.g., OpenAI GPT, Anthropic Claude).
- Model fine-tuning and deployment.
- AI integration into enterprise applications.
- Prompt management tools (Langfuse).
- Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG).
- Experience with cloud platforms (AWS, Azure, GCP).
- Familiarity with CI/CD pipelines and modern development tools.
Principal AI Engineer employer: Gravity Engineering Services Pvt Ltd.
As a Principal AI Engineer at our company, you will join a dynamic and innovative team dedicated to pushing the boundaries of AI technology. We offer a collaborative work culture that fosters creativity and continuous learning, alongside competitive benefits and opportunities for professional growth in a thriving tech hub. Our commitment to cutting-edge projects and employee development makes us an exceptional employer for those seeking meaningful and rewarding careers in AI.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Principal AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving prompt engineering and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Java and Python. Practice solving problems related to AI development and system architecture to demonstrate your expertise during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Principal AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI development and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your expertise can help us push boundaries at StudySmarter. Keep it engaging and relevant to the job description.
Showcase Your Technical Skills:When filling out your application, be specific about your technical proficiencies, especially in Java, Python, and AI tools. We love seeing concrete examples of how you've used these skills in past projects.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Java, Python, and AI technologies like prompt engineering and LLMs. Be ready to discuss specific projects where you've applied these skills, as this will show your hands-on experience and technical authority.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex projects you've tackled, especially those involving system architecture and performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you drove best practices in your previous roles.
✨Stay Current with AI Trends
Familiarise yourself with the latest advancements in AI and emerging technologies. Be prepared to discuss how you've prototyped or evaluated new tools and methodologies, as this demonstrates your commitment to innovation and research in the field.
✨Collaboration is Key
Emphasise your experience working with cross-functional teams, including product managers and QA. Share examples of how you've contributed to code reviews and technical documentation, showcasing your ability to collaborate effectively and deliver high-quality solutions.
