Full Stack

Aligned Automation Services Pvt Ltd

Pune District

On-site

INR 1,500,000 - 3,000,000

Full time

14 days+

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Job summary

Aligned Automation is seeking a seasoned Full Stack Python Developer to join our Pune office. You will design scalable backend with Python and FastAPI, build responsive frontend with React, and containerize with Docker and Kubernetes.

You will implement RESTful APIs, work with PostgreSQL, Redis and RabbitMQ, and set up CI/CD with GitHub Actions. Knowledge of LLMs, LangChain, and MCP is a plus as we embed AI-powered capabilities across applications.

Qualifications

  • 3–8 years of full-stack Python development experience.
  • Backend development with Python and FastAPI.
  • Frontend development with React.
  • Docker and Kubernetes experience.
  • PostgreSQL with complex queries and optimization.
  • RabbitMQ and Redis experience.
  • CI/CD pipelines with GitHub Actions.
  • LLM prompt engineering experience.
  • Exposure to LangChain, LangGraph, LangSmith, MCP is beneficial.

Responsibilities

  • Design, develop, and maintain scalable backend applications with Python and FastAPI.
  • Build responsive frontend applications with React.
  • Develop and integrate RESTful APIs ensuring frontend-backend communication.
  • Design, optimize, and manage PostgreSQL databases and queries.
  • Implement asynchronous processing with RabbitMQ.
  • Use Redis for caching and session management.
  • Containerize applications with Docker; manage deployments with Kubernetes.
  • Develop and optimize CI/CD pipelines (GitHub Actions).
  • Implement LLM-based features with prompt engineering.
  • Integrate LLM capabilities into existing applications and workflows.
  • Collaborate with cross-functional teams to design, test, and deploy scalable software.
  • Ensure performance, security, reliability, and maintainability.

Skills

Python
FastAPI
React
Docker
Kubernetes
PostgreSQL
RabbitMQ
Redis
GitHub Actions
LLM Prompt Engineering
LangChain
LangGraph
LangSmith
MCP

Job description

About the Job
About Aligned Automation

At Aligned Automation, we live by our \"Better Together\" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

Job Description

Years of Experience: 3 to 8 Years

Role Overview

We are looking for an experienced Full Stack Python Developer with strong expertise in backend development using Python and FastAPI, frontend development using React, and containerized application deployment using Docker and Kubernetes.

The ideal candidate should have hands‑on experience building scalable, high‑performance applications, developing RESTful APIs, working with databases and messaging systems, and implementing CI/CD pipelines.

Additionally, the candidate should have practical experience using Large Language Models (LLMs), particularly in prompt engineering and integrating AI‑powered capabilities into applications. Exposure to frameworks such as LangChain, LangGraph, LangSmith, and Model Context Protocol (MCP) would be an added advantage.

Key Responsibilities
  • - Design, develop, and maintain scalable backend applications using Python and FastAPI.
  • - Build responsive and user‑friendly frontend applications using React.
  • - Develop and integrate RESTful APIs and ensure seamless communication between frontend and backend systems.
  • - Design, optimize, and manage PostgreSQL databases, including writing complex SQL queries, joins, stored procedures, and performance optimization.
  • - Implement asynchronous processing and messaging mechanisms using RabbitMQ (RMQ).
  • - Utilize Redis for caching, session management, and performance optimization.
  • - Containerize applications using Docker and manage deployments using Kubernetes.
  • - Develop, maintain, and optimize CI/CD pipelines, preferably using GitHub Actions.
  • - Implement LLM‑based application features using effective prompt engineering techniques.
  • - Integrate LLM capabilities into existing applications and workflows.
  • - Collaborate cross‑functional teams to design, develop; test; deploy scalable software solutions.
  • -Ensure application performance, security, reliability, and maintainability.
Mandatory Technical Skills
  • - Backend Development: Strong proficiency in Python and FastAPI.
  • - Frontend Development: Hands‑on experience with React.
  • - Containerization & Orchestration: Practical experience with Docker and Kubernetes.
  • - Database Management: Strong PostgreSQL knowledge, particularly writing complex SQL queries and query optimization.
  • - Message Queuing: Experience with RabbitMQ (RMQ).
  • - Caching: Hands‑on experience with Redis.
  • - CI/CD: Experience building and maintaining CI/CD pipelines, preferably using GitHub Actions.
  • - AI/LLM: Practical experience with LLM prompt engineering and integrating LLM‑powered capabilities into applications.
Good‑to‑Have Skills
  • - Experience with LangChain for LLM application development.
  • - Knowledge of LangGraph for building stateful and multi‑agent AI workflows.
  • - Familiarity with LangSmith for LLM application testing, tracing, and monitoring.
  • - Understanding of Model Context Protocol (MCP) and its implementation for connecting AI applications with external tools and data sources.
  • - Exposure to RAG (Retrieval‑Augmented Generation), AI agents, and LLM‑based application architectures.
Desired Candidate Profile
  • - Strong problem‑solving and analytical skills.
  • - Ability to design and develop scalable, distributed applications.
  • - Good understanding of software engineering principles and application architecture.
  • - Ability to work independently as well as collaboratively within an agile development environment.
  • - Strong debugging, troubleshooting, and performance optimization capabilities.
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