Tech Lead – CORE (Porur)

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Skills GenAI Development & LLM Expertise, Natural Language Processing (NLP), Machine Learning & AI Model Deployment, LangChain, Haystack, LangGraph, Vector Databases (Pinecone, Milvus, Neo4j), Speech-to-Text Technologies (Whisper, Google TTS), Backend Development (Python, Node.js, Spring Boot), Frontend Development (React.js, Angular, TypeScript), Microservices Architecture & API Development, CI/CD, DevOps (Jenkins, OpenShift, Kubernetes), AI-powered Search & Semantic Understanding, Dashboard Development & AI Monitoring (Splunk, AppDynamics). Job Description 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. 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 Full stack 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 - Bachelor’s/Master’s 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. Must-Have Skills: · Expertise in GenAI Development and Large Language Models (LLMs). · Proficiency in LangChain, Haystack, LangGraph for AI-driven workflow automation. · Strong understanding of Natural Language Processing (NLP) & semantic search optimization. · Experience in vector databases (Pinecone, Milvus, Neo4j) and graph-based AI solutions. · Hands-on experience with Speech-to-Text technologies (Whisper, Google Text-to-Speech). · Backend expertise in Java, Python, Node.js, Spring Boot. · Frontend skills with React.js, Angular, and TypeScript. · Proficiency in Microservices Architecture & API Development. · Experience with CI/CD, DevOps (Jenkins, OpenShift, Kubernetes). · Deep understanding of AI-powered Search & Semantic Understanding (HyDE, MMR, LLM reranking). Preferred Skills: · Experience in AI-powered chatbot & IVR automation. · Proficiency in Dashboard Development & AI Monitoring (Splunk, AppDynamics, Open Telemetry). · Ability to optimize real-time AI solutions using WebSockets and analytics-driven AI interactions. Job Type: Full time Pay: ₹678,244.13 - ₹1,000,000.00 per year Work Location: In person

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