Full Stack Engineer

Sky Systems, Inc. (SkySys); Bengaluru; Hybrid; INR 4.000.000 - 8.000.000; Vollzeit

Zusammenfassung

Sky Systems, Inc. (SkySys) is seeking a Full Stack Engineer with a data focus to build and deploy AI-powered applications across frontend, backend, data, and GenAI capabilities.

You will work with Python/FastAPI, Angular/React, and OpenAI/Claude, integrating data from enterprise sources and deploying on AWS. Expect 6–7+ years of software experience, hands-on GenAI/RAG, strong AWS (S3, Lambda, container/serverless), and end-to-end feature ownership from development to production.

Qualifikationen

• 6–7+ years of software engineering experience.
• Hands-on GenAI experience including RAG and prompt engineering.
• Strong AWS experience, particularly S3, Lambda and container/serverless deployments.
• Full-stack development with Angular/React + Python/FastAPI.
• Strong SQL and data engineering experience with large/multiple data sources.
• API development and enterprise integrations.
• Ability to own features end-to-end from development through production.

Aufgaben

• Build and deploy AI-powered applications across frontend, backend, data, and GenAI capabilities.
• Own features end-to-end from development through production.
• Collaborate with business and technical stakeholders across data sources and systems.
• Handle AWS deployment, data engineering, production monitoring and support.

Kenntnisse

LLM/GenAI

AWS

Angular/React

Python/FastAPI

SQL / Data engineering

API development

End-to-end ownership

Tools

OpenAI/Claude

LangChain/LlamaIndex

Docker

Jobbeschreibung

Role: Full Stack Engineer (Data Focused)

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: Long Term (with a possibility of contract to hire)

Work Schedule: 8 hours/day (Mon-Fri)

Location: Hybrid - 1x day onsite in Bangalore or Chennai

We are seeking a Full Stack Engineer to build and deploy AI-powered applications across frontend, backend, data, and GenAI capabilities. The role requires strong hands-on experience with Python, LLMs/GenAI, AWS, APIs, SQL, and modern frontend frameworks such as Angular/React.

The engineer will build end-to-end applications using Python/FastAPI, Angular/React, OpenAI/Claude, RAG, vector search, and agentic workflows, while integrating data from multiple enterprise sources. The role also involves AWS deployment, data engineering, production support, monitoring, and collaboration with business and technical stakeholders.

Key Must-Haves:

• 6–7+ years of software engineering experience
• Hands-on LLM/GenAI experience, including RAG and prompt engineering
• Strong AWS experience, particularly S3, Lambda, and container/serverless deployments
• Full-stack development with Angular/React + Python/FastAPI
• Strong SQL and data engineering experience with large/multiple data sources
• API development and enterprise integrations
• Ability to own features end-to-end from development through production

Nice to Have:

Databricks, Spark, Delta Lake, vector databases, LangChain/LlamaIndex, Docker, CI/CD, MLflow, and finance-domain experience.