LLM EngineerseniorLondon Area, United KingdomonsitefulltimeArtificial IntelligencePythonLangChainLangGraphLlamaIndexFastAPINeo4jKubernetesDockerposted
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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, and 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, and 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
MLOps \& AI Operations
* Implement MLOps best practices for AI model deployment, monitoring, governance, and continuous integration/continuous deployment (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, and 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
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.
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