Technical Lead AI & Application Development

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.
• Strong 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

• Bachelors or masters degree in computer science, Information Technology, or a related field.
  

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