Job Description

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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 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.
Requirements
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.
Skills:
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, OpenTelemetry).
Ability to optimize real-time AI solutions using WebSockets and analytics-driven AI interactions.

Skills Required