Lead Fullstack Gen AI Engineer

We 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.

Qualification:

• Bachelors/masters degree in computer science, AI, Machine Learning, or a related field.
• 7+ 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.

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.