Location:Hyderabad Experience:7–12years Employment Type: Full-time, Onsite About Inductive Quotient Analytics Inductive Quotient Analytics develops AI-powered products and data-driven solutions for life sciences and healthcare, covering clinical development, regulatory intelligence, biometrics, real-world evidence, medical coding, site readiness, and clinical data automation.

Role Overview Inductive Quotient Analytics is looking for a hands-on Technical Lead – AI & Application Development to lead the architecture and development of enterprise applications, data science solutions, and AI-powered products. The candidate should have strong experience in Python, object-oriented programming, R, microservices, APIs, application security, databases, and solution architecture, along with at least one year of hands-on experience in AI and LLM-based product development.

Key Responsibilities Lead the architecture, design, and development of scalable enterprise applications. Develop backend services, APIs, analytical engines, and data-driven products using Python and R. Design microservices-based, secure, modular, and maintainable application architectures.

Lead the development of AI and LLM solutions using Generative AI, RAG, AI agents, embeddings, and vector databases. Integrate machine learning and LLM models into production applications. Implement application security, authentication, authorisation, audit trails, encryption, and secure data handling.

Conduct architecture reviews, code reviews, performance optimisation, and technical troubleshooting. Guide developers, data scientists, and AI engineers through the complete product-development lifecycle.



Work closely with product, UI/UX, quality, domain, and business teams.

Ability to rapidly build POCs and convert them into production-grade systems Required Skills Strong hands-on programming experience in Python. Good experience in object-oriented programming, design patterns, and software architecture.

Experience using R for data science, statistical computing, or analytics. Strong experience with FastAPI and ORM frameworks.

Experience in microservices, REST APIs, database design, and system integrations. Robust experience with RDBMS, NoSQL, Graph & Vector databases – PostgreSQL, MongoDB, Neo4J At least one year of hands-on experience in AI and LLM product development.

Experience integrating LLM APIs such as OpenAI, and Claude, into scalable agentic AI applications Experience in open-source LLMs and private or on-premises AI deployment Experience with Generative AI, RAG, prompt engineering, embeddings, and AI agents.

Experience with Docker, Git, Linux, CI/CD, and cloud or on-premises deployments. Understanding of application security, secure coding, API security, and role-based access control.

Experience leading technical teams and delivering production-ready applications.

Preferred Skills React JS Kubernetes, Redis, Kafka, or RabbitMQ Machine learning, NLP, document intelligence, or knowledge graphs Experience in life sciences, healthcare, clinical research, or regulated applications Qualification Bachelor's or master's degree in computer science, Information Technology, or a related field.

Skills: solution architecture & technical leadership,generative ai / llm development,python + backend development,r programming

📌 Technical Lead – AI & Application Development (Hyderabad)
🏢 Inductive Quotient Analytics
📍 Hyderabad