Technical Lead

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

Qualifications

• Bachelors/Masters degree in Computer Science, AI, Machine Learning, or a

related field.

• 7+ years of experience in Fullstack development, GenAI and Python.
• 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/Web Sockets, 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, Open Telemetry).
• Ability to optimize real-time AI solutions using Web Sockets and analytics-driven AI interactions.