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- Tasks: Join us as a Senior Full Stack AI Engineer, working on cutting-edge AI projects remotely.
- Company: Work with a forward-thinking client focused on innovative AI solutions.
- Benefits: Enjoy 100% remote work and a competitive rate of £525 per day, outside IR35.
- Why this job: Be part of a dynamic team shaping the future of AI with real-world applications.
- Qualifications: Must have experience in data management, full-stack technologies, and AI frameworks.
- Other info: Initial contract for 6 months with potential for extension; apply ASAP!
The predicted salary is between 100000 - 140000 £ per year.
- AI/ML
- Typescript
- Python
My client has an urgent need for a senior full stack AI Engineer this is outside IR35, 100% remote working and contract will be initially 6 months but likely to extend paying £525 per day
In order to be considered for this role you will need to have –
Experience with data management and data architectures (SQL/NoSQL), database systems, modern data warehouse platforms (Snowflake, Databricks, BigQuery), ETL/ELT pipeline development, and data lake/warehouse implementations for integrating structured and unstructured laboratory and sequencing data sources.
Master Full-Stack technologies, such as Python, JavaScript/TypeScript, Cloud (preferably AWS), SQL, Unix
Desirable Skills
Deep familiarity with AI frameworks (LangChain, LangGraph, Pydantic AI) with examples of real-world multi-agent AI applications.
If you have the above experience please send your CV for immediate consideration as our client are looking to hire ASAP – this is initially 6 months outside IR35 and remote working, £525 per day
Senior full stack AI Engineer – Remote – AI – LLM – Typescript – react – Python – AWS – £525 a day Outside IR35.
full stack AI Engineer - Remote - £525 - Outside IR35 - 6 months employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land full stack AI Engineer - Remote - £525 - Outside IR35 - 6 months
✨Tip Number 1
Make sure to showcase your experience with data management and architectures during any discussions. Be ready to discuss specific projects where you've implemented SQL/NoSQL databases or worked with modern data warehouse platforms like Snowflake or BigQuery.
✨Tip Number 2
Familiarise yourself with the latest AI frameworks mentioned in the job description, such as LangChain and Pydantic AI. Having real-world examples of how you've applied these frameworks in multi-agent AI applications will set you apart from other candidates.
✨Tip Number 3
Since this role is remote, ensure you have a reliable setup for virtual interviews. Test your technology beforehand and be prepared to discuss how you manage your time and productivity while working remotely.
✨Tip Number 4
Network with professionals in the AI and full-stack development community. Engaging in relevant online forums or attending virtual meetups can help you gain insights and potentially get referrals that could boost your chances of landing the job.
We think you need these skills to ace full stack AI Engineer - Remote - £525 - Outside IR35 - 6 months
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML, full-stack technologies, and relevant tools like Python, TypeScript, and AWS. Use specific examples from your past work that demonstrate your skills in data management and architecture.
Craft a Compelling Cover Letter: Write a cover letter that addresses the specific requirements mentioned in the job description. Emphasise your familiarity with AI frameworks and provide examples of your work with multi-agent AI applications to stand out.
Showcase Relevant Projects: If you have worked on projects involving ETL/ELT pipeline development or data lake implementations, include these in your application. Briefly describe your role and the technologies used to give the employer insight into your practical experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a senior role.
How to prepare for a job interview at Exalto Consulting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI frameworks and full-stack technologies. Highlight specific projects where you've used Python, TypeScript, or AWS, and be ready to explain your role in those projects.
✨Demonstrate Data Management Expertise
Since the role requires knowledge of data architectures and ETL/ELT pipeline development, come equipped with examples of how you've managed data in previous roles. Discuss any experience with SQL/NoSQL databases and modern data warehouse platforms.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or scenarios related to AI applications and data integration, as these will likely come up during the interview.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company and the role. Inquire about their current projects involving AI and how they envision the future of their technology stack, particularly regarding multi-agent AI applications.
