Full Stack Engineer

About SCIKIQ SCIKIQ is an AI-native enterprise data intelligence platform helping large organisations discover, govern, and act on their data. Our platform spans data integration, BI and KPI building, automated insight generation, an AI/ML layer, data governance, and data cataloguing. We are domain agnostic and our current customers are financial services, telecom, and facilities management, retail /Ecommerce and manufacturing and we are scaling our product and engineering teams to support that growth.

SCIKIQ is Rated → Top 10 Data & AI companies in India (NASSCOM League of 10) → Top 34 AI-Augmented Platforms globally (Forrester) → Top 30 Tech Companies to Watch (your Story and Inc Media)

Experience: 5-7 years of hands-on full stack development experience.

Role Overview We are looking for experienced Full Stack Developers to own end-to-end feature delivery across our AI-native enterprise data intelligence platform. You will build and integrate both frontend and backend components, contribute to our microservices architecture, and increasingly work alongside agentic AI workflows that power automated insight generation across the platform.

Required Skills • Strong backend development experience with Python and Django/FastAPI • Experience in Pandas, Numpy, Polars packages • Designing and consuming RESTful APIs • Proficiency with modern JavaScript frameworks for frontend development (React, Angular or Vue) • Solid SQL and relational database skills • Containerisation with Docker and deployment on AWS / Azure • CI/CD pipeline setup and maintenance • Building and operating microservices

Preferred Skills • Hands-on exposure to LangChain/LangGraph/Autogen/CrewAI for agentic AI development • Experience integrating LLM and AI/ML services into production applications

Key Focus Areas • End-to-end feature development across the stack • API design and third-party integration • Frontend and backend engineering • Production support and reliability

Soft Skills & Working Style • Excellent verbal and written communication skills • Strong problem-solving and analytical thinking • High ownership mindset with the ability to drive tasks independently • Ability to work in a fast-paced product environment • Comfort with ambiguity and ability to convert unclear requirements into working solutions • Curiosity to learn new technologies, especially in AI, data, and enterprise software

Preferred Background • Engineering degree from a Grade A / reputed college preferred • Prior experience in a product company, SaaS company, enterprise software company, or data/AI platform company will be preferred • Ideal candidates should have strong communication skills, sound engineering fundamentals, and the maturity to work on enterprise-grade products