Job Description

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).

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