Smartedge Solutions Ltd

Your Responsibilities: Full Stack Development: Design, develop, and maintain end-to-end AI solutions, including Front End interfaces, Back End services, and data pipelines. AI System Development: Implement and optimize AI models, ensuring they are scalable, maintainable, and production-ready. Work on GenAI, Agentic AI, and classic ML solutions. Enterprise Integration: Integrate AI solutions with existing enterprise systems and ensure seamless operation within the client's technology stack. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to identify opportunities and deliver robust AI solutions. Technical Leadership: Provide technical guidance and mentorship to junior engineers. Lead the implementation of best practices in AI/ML development and deployment. Innovation: Stay updated with the latest advancements in AI/ML technologies and contribute to the development of innovative solutions. Your Profile Essential skills/knowledge/experience: Proficiency in Python and extensive experience with AI/ML/NLP libraries (eg, Hugging Face Transformers, spaCy, NLTK). Experience with state-of-the-art LLMs (eg, GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. Hands-on experience with core GenAI frameworks (eg, LangChain, LlamaIndex) and Agentic AI frameworks (eg, AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (eg, Pinecone, Weaviate, FAISS). Proven experience in full stack development and AI/ML system implementation within enterprise environments. Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, and autonomous agent design. Excellent communication and stakeholder management skills. Experience working on client proposals and leading technical presentations.

Your responsibilities: Lead the design and architecture of complex Python applications, considering scalability, performance, and maintainability. Evaluate and select appropriate Python frameworks (Django, Flask, FastAPI, etc.) based on project requirements. Create detailed technical design documents, including system diagrams, data flow, and API specifications. Ensure application security, performance, and scalability. Collaborate with cross-functional teams, including designers, testers, and DevOps engineers. Work with cloud platforms AWS, for deployment and monitoring. Follow Agile methodologies (Scrum/Kanban) and participate in sprint planning Your Profile Essential skills/knowledge/experience: Experience with advanced Python concepts like concurrency, asynchronous programming, and metaclasses. Knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). Strong knowledge of OOPs Concepts Understanding of domain-related best practices. Strong command of Python syntax, data structures, object-oriented programming. Proficiency in database design and optimization techniques. Expertise in at least one popular Python web framework (Django, Flask, FastAPI). Understanding of RESTful APIs and web application design principles and Design Patterns. Proven track record of designing and developing large-scale Python applications. Experience in leading technical discussions and providing architectural guidance. Demonstrated ability to work independently and as part of a cross-functional team. Cost-Effective & Resource Optimization Security & Authentication API Gateway & Load Balancing CI/CD & DevOps Integration AWS (ECS,fargate, EC2, SNS, SQS, Cloudwatch,EKS,Kubernetes) Desirable skills/knowledge/experience: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn Knowledge of data science and machine learning concepts and tools. Good to have Strategic thinking and problem-solving Collaboration and teamwork Effective communication and stakeholder management Adaptability and continuous learning

Hands-on experience supporting Mendix Private Platform (PMP) environments. Mendix PMP accreditation or formal Mendix platform training). Strong experience supporting Kubernetes-based platforms. Practical experience with Microsoft Azure, including: Azure Container Registry (ACR), Microsoft Defender for Cloud, and Azure Policy and compliance controls