How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Python Fullstack Developer
Senior GenAI Engineer / Python Fullstack Developer
We are seeking a highly skilled Senior GenAI Engineer/Python Fullstack Developer to join our team and lead the development of next-generation AI-powered solutions. This role is ideal for a hands-on engineer with strong expertise in Generative AI, Large Language Models (LLMs), Knowledge Graphs, MLOps, and Full-Stack Development.
You will play a key role in designing, building, and scaling enterprise-grade AI applications that drive business innovation and deliver real-world impact.
Key Responsibilities
AI & Application Development
- Design, develop, and deploy scalable AI-powered full-stack applications using Python and modern frontend technologies.
- Build and integrate Generative AI solutions leveraging frameworks such as:
- LangChain
- LangGraph
- LangSmith
- LlamaIndex
- RAGAS
- Develop robust backend services and APIs using FastAPI, Flask, and microservices architecture.
- Build and maintain Human-in-the-Loop (HITL) systems to enable continuous model improvement through user feedback and validation.
Knowledge Graph & Advanced AI Solutions
- Design, implement, and maintain enterprise Knowledge Graphs using graph databases such as:
- Neo4j
- Amazon Neptune
- GraphDB
- Work with semantic web technologies, including RDF, OWL, and SPARQL.
- Develop graph-based AI solutions using techniques such as:
- Graph Neural Networks (GNNs)
- Link Prediction
- Node Embeddings
- Graph Analytics
Reasons to use Rodeo
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.
It 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.
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.
MLOps & AI Operations
- Implement MLOps best practices for AI model deployment, monitoring, governance, and CI/CD.
- Ensure scalability, reliability, security, and performance of AI applications.
- Develop testing frameworks, documentation, and operational support processes.
Collaboration & Innovation
- Collaborate closely with:
- Data Scientists
- ML Engineers
- Architects
- Product Managers
- Engineering teams
- Drive innovation by evaluating and adopting emerging AI/ML technologies and frameworks.
- Contribute to technical discussions, architecture decisions, and best practices.
Required Skills & Qualifications
Technical Skills
- Strong proficiency in Python with experience in full-stack application development.
- Hands-on experience building and deploying AI/ML applications using Large Language Models (LLMs).
- Experience with:
- LangChain
- LangGraph
- LangSmith
- LlamaIndex
- RAGAS
- Strong understanding of Human-in-the-Loop AI systems.
- Experience with SQL and NoSQL databases.
- Experience working with cloud platforms:
- AWS
- Azure
- Google Cloud Platform (GCP)
- Knowledge of cloud-based AI/ML services and APIs.
- Experience with:
- RESTful APIs
- Microservices Architecture
- Docker
- Kubernetes
- Frontend development experience using:
- ReactJS
- Angular
- Vue.js
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Process & Methodology
- Strong understanding of Software Development Life Cycle (SDLC).
- Experience working in Agile and Scrum environments.
- Ability to gather requirements and create technical specifications.
Preferred Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Research contributions in AI/ML, including publications, patents, or conference presentations.
- Experience with advanced graph-based machine learning techniques.
Certifications (Preferred)
- ✅ AWS Cloud Certification
- ✅ AWS AI/ML Certification
What We're Looking For
- Excellent problem-solving and analytical skills.
- Strong communication and stakeholder management abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Passion for innovation and emerging AI technologies.
- Continuous learner with a growth mindset.
- Positive attitude and strong ownership mindset.
Interested?
If you're passionate about building cutting-edge Generative AI solutions and want to work on transformative enterprise AI initiatives, we’d love to hear from you.
📩 Apply now or reach out directly to learn more.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location