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Senior Python and LLM Developer
We're Hiring: Senior Python & LLM Developer (10+ Years Experience)
Are you passionate about building intelligent systems powered by Large Language Models (LLMs), Agentic AI, RAG Architectures, and Conversational AI?
We are looking for a highly skilled Senior Python & LLM Developer to join our AI engineering team and help shape the next generation of AI-driven products. This is an exciting opportunity to work on cutting-edge technologies including LangChain, LangGraph, Agentic Frameworks, RAG Pipelines, Vector Databases, Knowledge Graphs, and Cloud AI Services.
🌟 What You'll Do
As a Senior Python & LLM Developer, you will play a critical role in designing, building, and deploying enterprise-grade AI solutions that solve complex business challenges.
Key Responsibilities
- Develop and deploy advanced AI/ML solutions leveraging LLMs, NLP, and Agentic AI frameworks
- Design and implement sophisticated Retrieval-Augmented Generation (RAG) architectures to deliver accurate, context-aware AI experiences
- Build intelligent, stateful AI agents and multi-agent workflows using LangChain, LangGraph, StateGraph, CrewAI, LlamaIndex, and similar frameworks
- Develop scalable backend services and high-performance APIs using Python, FastAPI, HTTP, and gRPC
- Create next-generation conversational AI platforms, chatbots, and virtual assistants through prompt engineering and agent orchestration
- Integrate AI applications with SQL, NoSQL, Vector Databases, Knowledge Graphs, and third-party systems
- Implement MLOps best practices and contribute to CI/CD pipelines using Docker, Kubernetes, and Cloud Platforms
- Collaborate with Data Scientists, Architects, Product Managers, and engineering teams to deliver innovative AI solutions
- Stay at the forefront of emerging AI technologies and drive innovation across the organization
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.
🔥 Must-Have Skills
✔ 10+ years of professional software development experience with strong expertise in Python ✔ Extensive hands-on experience with:
- LangChain
- LangGraph
- StateGraph
- LlamaIndex
- CrewAI
- Agentic AI Frameworks ✔ Proven experience designing and implementing RAG (Retrieval-Augmented Generation) solutions ✔ Strong expertise in:
- Prompt Engineering
- Conversational AI
- NLP Applications
- AI Agent Development ✔ Experience building scalable APIs using FastAPI ✔ Strong understanding of:
- HTTP & gRPC
- Docker & Kubernetes
- MLOps & AI Deployment
- Cloud AI Services (AWS, Azure, or GCP) ✔ Experience deploying production-grade AI solutions on enterprise platforms
⭐ Nice to Have
- Experience with Vector Databases:
- Pinecone
- Chroma
- FAISS
- Experience with Knowledge Graph technologies:
- Neo4j
- RDF
- Graph Databases
- Exposure to additional languages such as Java, C#, or JavaScript
- Open-source contributions, AI research, publications, or GitHub projects


Get help with your application
Your very own career expert that helps elevate your application to the next level.
🎓 Qualifications
- Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Demonstrable portfolio of AI, NLP, LLM, or Agentic AI projects
🏅 Preferred Certifications
- AWS / Azure / GCP Cloud Certifications
- AI / Machine Learning Certifications
💡 Why Join Us?
- Work on cutting-edge Generative AI and Agentic AI initiatives
- Build large-scale enterprise AI applications used by global customers
- Collaborate with top AI Engineers, Data Scientists, and Architects
- Influence technical direction and AI strategy
- Continuous learning and exposure to the latest advancements in LLMs, RAG, Agents, and AI Platforms
- Opportunity to solve real-world business problems using transformative AI technologies
📩 Ready to build the future of AI? If you're excited about LLMs, Agentic AI, RAG, Conversational AI, Knowledge Graphs, and scalable AI platforms, we'd love to connect with you.
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Jessica, London
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