Technical Lead – AI & Application Development
Inductive Quotient Analytics
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Job summary
Inductive Quotient Analytics in Hyderabad seeks a hands-on Technical Lead – AI & Application Development to spearhead architecture and development of enterprise apps, data science solutions, and AI-powered products.
The candidate will show strong experience in Python, OO design, R, microservices, APIs, security, databases, and solution architecture, with at least one year in AI/LLM product development.
Qualifications
- Hands-on Python development with OO design and architecture.
- Experience building AI/LLM products and production systems.
- Experience in microservices, REST APIs, and secure coding.
- Experience integrating LLM APIs like OpenAI, Claude into scalable apps.
- Experience with Docker, Git, Linux, CI/CD, and cloud or on‑prem deployments.
Responsibilities
- Lead 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 architectures.
- Lead AI and LLM solutions using Generative AI, RAG, AI agents, embeddings, and vector databases.
- Guide developers, data scientists, and AI engineers through full product lifecycles.
- Work with product, UI/UX, quality, domain, and business teams.
- Rapidly build POCs and convert them into production-grade systems.
Skills
Education
Tools
Job description
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.
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.
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.
- 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
- 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.
- 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
- 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
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