Technical Lead – AI & Application Development

Inductivequotient; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Inductive Quotient Analytics in Hyderabad seeks a hands-on Technical Lead – AI & Application Development to steer architecture and delivery of enterprise applications, data science solutions, and AI-powered products.

The role requires strong Python and R skills, microservices, APIs, security, and a track record of leading teams through production-grade deployments, with experience in OpenAI/Claude integrations and scalable AI systems.

Qualifications

• Bachelor's or master's degree in computer science, information technology, or a related field.
• At least 1 year hands-on experience in AI/LLM product development.
• Strong hands-on programming experience in Python.

Responsibilities

• Lead architecture, design, and development of scalable enterprise applications.
• Develop backend services, APIs, and data-driven products using Python and R.
• Design microservices-based, secure, modular, maintainable architectures.
• Lead the development of AI and LLM solutions using Generative AI, RAG, AI agents, embeddings, and vector databases.
• Integrate ML and LLM models into production applications.
• Implement authentication, authorization, audit trails, encryption, and secure data handling.
• Conduct architecture reviews, code reviews, performance optimisation, and troubleshooting.
• Guide developers, data scientists, and AI engineers through the product lifecycle.
• Collaborate with product, UI/UX, QA, domain, and business teams.
• Rapidly build POCs and convert them into production-grade systems.

Skills

Python

OOP design

R

Microservices

APIs

Security

Databases

AI/LLM development

Docker

Git

CI/CD

Cloud deployments

OpenAI/Claude APIs

Education

BS/MS in CS/IT

Tools

FastAPI

ORM frameworks

PostgreSQL

MongoDB

Neo4j

Docker

Kubernetes

Job description

Build Your Career at the Intersection of Science, Data, and AI

Join a team accelerating life sciences and healthcare with expert services, intelligent platforms, and modern delivery.

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.
• Goodexperienceinobject‑oriented programming, design patterns, and software architecture.
• Experience using R for data science, statistical computing, or analytics.
• Strong experience withFastAPIand ORMframeworks.
• Experience in microservices, REST APIs, database design, and system integrations.
• Strongexperience 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 APIssuch asOpenAI,andClaude,into scalableagentic AIapplications
• 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

• ReactJS
• 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'sdegree in computer science, Information Technology, or a related field.

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

WHY INDUCTIVE QUOTIENT

Why Join IQA?

Build your career where life sciences, technology, and meaningful work come together.

Contribute to meaningful work that supports progress across life sciences, healthcare, and intelligent technology.

Life Sciences Impact

Support projects that create real value across clinical research, healthcare, and regulated environments.

Growth and Learning

Expand your skills through mentorship, real project exposure, and continuous learning opportunities.

Innovation with AI and Data

Be part of teams applying AI, data, and automation to modern life sciences and healthcare challenges.

Cross-Functional Exposure

Work across services, platforms, and business functions in a collaborative and learning‑driven environment.

Global Delivery Mindset

Gain experience in a globally aligned delivery model built for quality, responsiveness, and scale.