Full Stack

Aligned Automation

Pune District

Vor Ort

INR 1.800.000 - 3.200.000

Vollzeit

vor 18 Stunden
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Zusammenfassung

Aligned Automation is seeking an experienced Full Stack Python Developer in Pune. The role focuses on backend development with Python and FastAPI, frontend with React, and containerized deployments using Docker and Kubernetes.

You will build scalable applications, design RESTful APIs, and work with PostgreSQL, Redis, and RabbitMQ. Experience with LLMs and prompt engineering is highly valued, with LangChain/GraphSmith exposure a plus.

Qualifikationen

  • Proven experience with Python and FastAPI backend development.
  • Hands-on frontend development with React.
  • Experience containerizing apps with Docker and orchestrating with Kubernetes.
  • Strong PostgreSQL knowledge and complex SQL proficiency.
  • Experience with RabbitMQ messaging and Redis caching.
  • CI/CD pipelines, preferably GitHub Actions.
  • Practical experience with LLM prompt engineering and integrating AI features.
  • Exposure to LangChain, LangGraph, LangSmith, and MCP is a plus.

Aufgaben

  • Design, develop, and maintain scalable backend using Python and FastAPI.
  • Create responsive frontends with React and ensure API integration.
  • Develop and expose RESTful APIs; ensure frontend-backend communication.
  • Design, optimize, and query PostgreSQL databases; performance tuning.
  • Implement asynchronous processing with RabbitMQ and Redis caching.
  • Containerize apps with Docker and deploy with Kubernetes.
  • Build and maintain CI/CD pipelines, preferably GitHub Actions.
  • Integrate LLM features using prompt engineering and related tools.
  • Collaborate with cross-functional teams to deliver scalable software.

Kenntnisse

Python
FastAPI
React
LLM prompt engineering
Distributed systems
Problem solving
Agile

Tools

Docker
Kubernetes
PostgreSQL
RabbitMQ
Redis
GitHub Actions
LangChain
LangGraph
LangSmith

Jobbeschreibung

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
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 with cross‑functional teams to design, develop, test, and 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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