AIML Lead

Job Description You are seeking a Tech Lead with expertise in AI/ML and Fullstack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms. Responsibilities - Develop & Optimize Core AI/ML Features: Architect and implement AI-powered automation modules, search systems, and data retrieval models. Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques. Enhance workflow automation using Haystack, LangGraph, and Vector DBs. - Lead Fullstack Platform Development: Design and build scalable microservices and event-driven architectures. Implement high-performance backend systems in Python, Java, and Node.js. Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript. - AI Model Deployment & DevOps: Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms. Implement CI/CD pipelines, containerization, and scalable deployment strategies. - Technical Leadership & Best Practices: Lead and mentor junior developers and AI engineers. Enforce best practices in software engineering, AI model deployment, and fullstack architecture. Drive innovation in AI-based workflow automation and platform scalability. Qualifications - Bachelors/Masters degree in Computer Science, AI, Machine Learning, or a related field. - 8+ years of experience in AI/ML and fullstack development. - Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. - Strong programming skills in Python, Java, Node.js, TypeScript. - Deep understanding of cloud-based AI solutions (AWS, GCP, Azure). - Experience in microservices, REST/WebSockets, and real-time API development. - Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines. - Experience in vector databases, RAG-based search, and AI-powered data retrieval. Job Description You are seeking a Tech Lead with expertise in AI/ML and Fullstack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms. Responsibilities - Develop & Optimize Core AI/ML Features: Architect and implement AI-powered automation modules, search systems, and data retrieval models. Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques. Enhance workflow automation using Haystack, LangGraph, and Vector DBs. - Lead Fullstack Platform Development: Design and build scalable microservices and event-driven architectures. Implement high-performance backend systems in Python, Java, and Node.js. Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript. - AI Model Deployment & DevOps: Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms. Implement CI/CD pipelines, containerization, and scalable deployment strategies. - Technical Leadership & Best Practices: Lead and mentor junior developers and AI engineers. Enforce best practices in software engineering, AI model deployment, and fullstack architecture. Drive innovation in AI-based workflow automation and platform scalability. Qualifications - Bachelors/Masters degree in Computer Science, AI, Machine Learning, or a related field. - 8+ years of experience in AI/ML and fullstack development. - Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. - Strong programming skills in Python, Java, Node.js, TypeScript. - Deep understanding of cloud-based AI solutions (AWS, GCP, Azure). - Experience in microservices, REST/WebSockets, and real-time API development. - Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines. - Experience in vector databases, RAG-based search, and AI-powered data retrieval.