Full Stack Engineer

Sky Systems, Inc. (SkySys); Bengaluru; Hybrid; INR 300,000 - 650,000; Full time

Job summary

Sky Systems, Inc. (SkySys) is seeking a Full Stack Engineer (Data Focused) to build and deploy AI-powered applications across frontend, backend, data, and GenAI capabilities. The role emphasizes Python/FastAPI, Angular/React, and AWS deployment within a hybrid work setup in India.

The candidate will work with OpenAI/Claude integrations, RAG, vector search, and agentic workflows, ingesting data from multiple enterprise sources while collaborating with business and technical stakeholders.

Qualifications

• 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.

Skills

LLM/GenAI

AWS

APIs

SQL

Python/FastAPI

Angular/React

End-to-end ownership

Tools

OpenAI/Claude

LangChain/LlamaIndex

Docker

CI/CD

Databricks

Spark

Delta Lake

Job description

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.