- خبرة
- 5–7 yrs
- مرتب
- —
- الوظائف الشاغرة
- 1
- تم النشر
- • ٥ نوفمبر
- Work mode
- في المكتب
- تعليم
- Engineering degree
- Eligibility
- Professionals with 5 to 7 years of full stack experience are suitable for this role. Candidates with an engineering degree from a reputed or Grade A college are preferred, and prior experience in product, SaaS, enterprise software, or data/AI platform environments is an advantage.
- Resume
- Required to apply
Where you'll work
المسمى الوظيفي
About SCIKIQ
SCIKIQ is an AI-first enterprise data intelligence platform built to help large organizations find, govern, and use their data effectively. The product covers data integration, BI and KPI creation, automated insights, an AI/ML layer, data governance, and data cataloging. The company works across multiple industries, including financial services, telecom, facilities management, retail/ecommerce, and manufacturing, and is expanding its product and engineering teams to support this growth.
SCIKIQ has been recognized as one of the Top 10 Data & AI companies in India (NASSCOM League of 10), among the Top 34 AI-Augmented Platforms globally (Forrester), and as one of the Top 30 Tech Companies to Watch (YourStory and Inc Media).
Role Overview
The company is seeking experienced Full Stack Engineers who can take ownership of feature delivery from start to finish across the AI-native enterprise data intelligence platform. In this role, you will develop and connect frontend and backend components, contribute to a microservices-based architecture, and collaborate on agentic AI workflows that support automated insight generation across the platform.
Experience Required
This role calls for 5 to 7 years of practical full stack development experience.
Core Technical Requirements
The ideal candidate should have strong backend experience using Python along with Django or FastAPI. Working knowledge of Pandas, NumPy, and Polars is also important. You should be comfortable designing and consuming RESTful APIs, building frontend interfaces with modern JavaScript frameworks such as React, Angular, or Vue, and working with SQL and relational databases. The role also requires experience with Docker-based containerization, deployment on AWS or Azure, CI/CD pipeline setup and upkeep, and hands-on work with microservices.
Preferred Technical Exposure
Experience with agentic AI tools such as LangChain, LangGraph, Autogen, or CrewAI will be an advantage. Familiarity with integrating LLM and AI/ML services into production systems is also preferred.
Key Focus Areas
- Delivering complete features across frontend and backend layers
- Designing APIs and integrating third-party services
- Working on both client-side and server-side engineering tasks
- Supporting production systems and improving reliability
Soft Skills and Working Style
- Strong spoken and written communication
- Good analytical thinking and problem-solving ability
- Ownership-driven approach with the ability to work independently
- Comfort working in a fast-moving product environment
- Ability to handle ambiguity and turn unclear needs into working solutions
- Interest in learning new technologies, especially in AI, data, and enterprise software
Preferred Background
A degree in engineering from a reputed or Grade A college is preferred. Previous experience in a product company, SaaS organization, enterprise software business, or data/AI platform company will be an added advantage. Candidates should bring strong communication skills, solid engineering fundamentals, and the maturity needed to work on enterprise-grade products.
Location
Gurugram, Haryana, India.