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Python Fullstack Developer

Mphasis

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. * #Hiring #GenAI #ArtificialIntelligence #LLM #MachineLearning #LangChain #LangGraph #KnowledgeGraphs #MLOps #PythonDeveloper #AIEngineer #AWS #FastAPI #Neo4j #TechJobs #CareerOpportunity