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, 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