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- Tasks: Develop and maintain AI applications using Python, Typescript, and AWS.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Enjoy 100% remote work and flexible contract terms outside IR35.
- Why this job: Be part of cutting-edge AI projects that make a real impact.
- Qualifications: Experience with Python, SQL, AWS, and LLM frameworks required.
- Other info: Initial 6-month contract with potential for extension; competitive daily rate.
The predicted salary is between 48000 - 72000 £ 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.
In order to be considered for this role you will need to have –
- Python, SQL, Unix, Cloud (AWS preferred)
- LLM applications: LangChain, Pydantic-AI (similar frameworks), RAG systems, MCP Servers
- Front End: some experience with Typescript, REACT
- Application Servers, web Servers, database Servers, dockerPreferred:
Some context:
Front End (TS/React) and a Back End (Python/FastAPI) leveraging a Python-based framework for LLMs and AI-agent (pydantic-ai).
Everything will be hosted on AWS (currently EC2).
Senior full stack AI Engineer – Remote – AI – LLM – Typescript – react – Python – AWS – Outside IR35.
Senior full stack AI Engineer (LLM) - Remote - Outside IR35 employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior full stack AI Engineer (LLM) - Remote - Outside IR35
✨Tip Number 1
Make sure to showcase your experience with LLM applications like LangChain and Pydantic-AI during any discussions. Highlighting specific projects where you've implemented these frameworks can set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the latest trends in AI and machine learning, especially those related to Python and AWS. Being able to discuss recent advancements or case studies can demonstrate your passion and expertise in the field.
✨Tip Number 3
Prepare to discuss your experience with cloud services, particularly AWS. Be ready to explain how you've used EC2 or other AWS services in past projects, as this is crucial for the role.
✨Tip Number 4
Network with professionals in the AI and tech community, especially those who work with full stack development. Engaging in relevant forums or attending meetups can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Senior full stack AI Engineer (LLM) - Remote - Outside IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, Unix, and AWS. Include specific projects where you've used LLM applications like LangChain or Pydantic-AI, as well as your familiarity with Typescript and React.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and ML. Mention your relevant skills and experiences, particularly in full stack development and cloud technologies. Explain why you're interested in this role and how you can contribute to the team.
Showcase Relevant Projects: If you have worked on any projects involving LLMs or AI agents, be sure to include them in your application. Describe your role, the technologies used, and the outcomes of these projects to demonstrate your expertise.
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 are 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 Python, SQL, and AWS in detail. Highlight specific projects where you've used these technologies, especially in relation to LLM applications and frameworks like LangChain or Pydantic-AI.
✨Demonstrate Your Full Stack Knowledge
Since this role requires both front-end and back-end skills, be ready to explain how you integrate Typescript and React with Python and FastAPI. Discuss any relevant projects that showcase your ability to work across the entire stack.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, particularly in AI/ML contexts. Practice coding challenges or system design questions that relate to LLMs and cloud-based solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's use of AI and their tech stack. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
