NexCell Solutions
AI Engineer Intern - LLM Agents & Automation (Python)

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AI Engineer Intern - LLM Agents & Automation (Python)
Remote | Duration: 6 Months | Start Date: ASAP | Commitment: ~20 hours per week | Eligibility: Students enrolled in a credit-bearing UK university placement | Application Deadline: Saturday 29 August 2026 | Unpaid (credit-bearing, contributing towards your degree)
About the Opportunity
NexCell Solutions is building AI agents and automation into a production-grade SaaS platform used by live clients. This internship is for students who want to build real, working AI systems: LLM-powered agents, tool-calling workflows, and automation pipelines that run in production, not notebook demos or coursework prototypes.
You will work hands-on with the AI layer of a live product, from designing agent behaviour through to shipping it, with direct mentorship from NexCell's senior engineers. The work rewards genuine curiosity about how LLM systems are built and a bias towards building rather than theorising.
What You Will Do
- Design, build, and test LLM-powered agents and multi-step automation workflows
- Implement tool-calling, function-calling, and structured outputs against real product use cases
- Build retrieval and context pipelines (RAG, embeddings, vector search) where they earn their place
- Develop and run evaluation loops to measure and improve agent reliability and output quality
- Apply prompt and context engineering to production behaviour, not toy examples
- Integrate AI features into a FastAPI backend powering live automations
- Take part in early architectural discussions on agent design, safety, and reliability
- Apply structured development practices focused on security, reliability, and user trust
- Write clean, maintainable, well-documented code
- Push production-quality work to GitHub as part of a real AI SaaS product
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who This Is For
- Students who have actually built something with LLMs, agents, or automation, and can talk through how and why it works
- Students currently enrolled in a Bachelor's or Master's degree that includes a credit-bearing placement or internship module
- Hands-on builders who prototype, test, and iterate rather than only reading about AI
- Individuals curious about agentic systems, LLM orchestration, and applied AI in real products
- Those able to balance academic commitments with a structured part-time internship
- Reliable, disciplined contributors who communicate clearly and work well in written English on a remote team
Preferred Background
- Currently studying Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical discipline. Solid Python is essential. Genuine hands-on experience with LLMs is what we are looking for: building agents, automation pipelines, or AI-backed tools, whether through coursework, personal projects, or experiments.
- Familiarity with any of the following is a strong plus: LLM APIs (Claude, OpenAI, or similar), agent or orchestration frameworks (LangChain, LangGraph, or equivalent), RAG and vector databases, prompt and context engineering, FastAPI, or Git and GitHub workflows.
- We care more about what you have built than which framework you used.
Tech Stack Exposure
Core: Python, FastAPI


Get help with your application
Your very own career expert that helps elevate your application to the next level.
AI Layer: LLM integration, agents, tool-calling, automation controls, AI-generated insights
Retrieval: embeddings, vector search, RAG pipelines
Real-time: WebSockets for live AI-driven data streams
Version Control: Git, GitHub
How to Apply
Submit your application by email to contact@nexcellsolutions.com with:
- Your CV with a cover letter
- A short paragraph (maximum 150 words): "Describe an AI agent, automation, or LLM project you have built. What did it do, and what was the hardest part to get working?"
Applications missing any component will not be considered.
Internship Details
- Duration: 6 months
- Hours: Approximately 20 hours per week, flexible around academic commitments
- Location: Fully remote
- Compensation: Unpaid, credit-bearing internship including mentorship, certification, and professional reference upon completion
- Academic requirement: Must contribute toward a recognised UK university placement or internship module
- Extension: High-performing interns may be considered for a full-time role after completion
About NexCell Solutions
NexCell Solutions Ltd (London, UK) is a CRM and AI consultancy specialising in intelligent, privacy-first digital systems for real-world business environments. We design and build AI-powered platforms, automation systems, and SaaS products used by organisations across multiple industries. We value precision, reliability, and continuous learning. This internship is ideal for students who want to build real, applied AI systems from the ground up and gain genuine hands-on engineering experience.
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