Senior Python Developer

2 days ago

Hosūr, Tamil Nadu, India Innovative Associates Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Description: Senior Python Developer (AI & Automation Focus)

Position Overview

We are seeking a Senior Python Developer with deep expertise in building scalable backend systems and integrating cutting-edge AI frameworks. The ideal candidate will have extensive experience in Python development along with hands-on knowledge of LangChain, LangGraph, and Model Context Protocol (MCP) to build intelligent, context-aware applications.

This role will involve designing and implementing robust, modular services, integrating AI-driven workflows, and mentoring junior developers while collaborating closely with data scientists, AI engineers, and product teams.

Required Qualifications

  • Experience: 5+ years of professional Python development experience.
  • AI Frameworks: Hands-on experience with LangChain, LangGraph, and integrating LLM-based pipelines.
  • MCP Knowledge: Understanding and practical application of Model Context Protocol for building interoperable AI tools and workflows.
  • Backend Expertise: Strong understanding of REST APIs, FastAPI/Django/Flask, and microservice architecture.
  • Data Handling: Experience with SQL/NoSQL databases and data processing pipelines.
  • Version Control: Proficiency with Git and collaborative development workflows.
  • Testing & CI/CD: Solid understanding of test automation, CI/CD pipelines, and containerization (Docker/Kubernetes).

Key Responsibilities

1. Software Development & Architecture

  • Design, develop, and maintain high-performance backend services and APIs using Python.
  • Architect modular and scalable solutions for AI-driven applications.
  • Optimize performance for large-scale data processing and AI inference workflows.
  • Ensure code quality through rigorous testing and review practices.

2. AI & Automation Framework Integration

  • Build and integrate AI agents and tools using LangChain for LLM-powered workflows.
  • Develop dynamic graph-based execution pipelines using LangGraph.
  • Implement secure and structured integrations using Model Context Protocol (MCP) for enhanced AI communication and interoperability.
  • Collaborate with AI researchers and ML engineers to deploy models into production.

3. Collaboration & Mentorship

  • Work closely with cross-functional teams including AI, data engineering, and DevOps.
  • Provide technical mentorship and guidance to junior and mid-level developers.
  • Participate in code reviews, technical design sessions, and sprint planning.

4. Continuous Improvement

  • Stay up-to-date with emerging technologies in AI orchestration and automation.
  • Propose innovative solutions for scaling AI-driven systems.
  • Advocate for best practices in clean code, testing, and observability.

Educational Background

  • Bachelors or Master's degree in Computer Science, Software Engineering, or a related field.
  • Equivalent professional experience will also be considered.

Relevant certifications such as AWS Certified Developer, Microsoft Azure Developer Associate, or Google Professional Cloud Developer are a strong plus.

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