Lead Software Engineer Python

2 weeks ago


Bengaluru, Karnataka, India Siemens Full time ₹ 15,00,000 - ₹ 20,00,000 per year

We are looking for: Lead Software Engineer Python ,

Youll make an impact by:

  • Lead the design and development of Python-based software components for AI-driven systems.
  • Define and uphold coding standards, best practices, and architectural principles (OOP, SOLID, design patterns).
  • Collaborate with AI/ML engineers to integrate and productionize Machine Learning, Deep Learning, and Generative AI models.
  • Architect and develop scalable RESTful APIs and backend systems using FastAPI or equivalent frameworks.
  • Advocate for performance optimization, testability, and non-functional requirements (NFRs) across all solutions.
  • Champion CI/CD practices, observability (logging, metrics, tracing), and maintain system
  • reliability at scale.
  • Mentor junior engineers and create a culture of high-quality, maintainable software
  • development.
  • Contribute to solution design for RAG (Retrieval-Augmented Generation) and Agentic AI
  • workflows.
  • Collaborate with multi-disciplinary teams to align software solutions with AI and business goals.

Use your skills to move the world forward

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.
  • 8+ years of hands-on experience in backend software development, with significant expertise in Python.
  • Proven experience in leading and mentoring software development teams.
  • Strong command over software architecture, design patterns, and clean coding principles.
  • Experience in building and scaling API-based systems, preferably with FastAPI or similar
  • frameworks.
  • Solid understanding of integrating ML/DL/GenAI models into production applications.
  • Familiarity with RAG, single and multi-agent architectures, and AI solution patterns.
  • Practical experience with AWS (Sagemaker, Bedrock) and/or Azure (ML Studio, OpenAIq Service).
  • Exposure to MLOps, model versioning, and observability tools.
  • Working knowledge of Java or Rust is a plus.
  • Experience designing software systems for cloud-native environments.
  • Prior experience working in the Power and Energy domain.
  • Familiarity with scalable data processing, real-time systems, or event-driven architectures.
  • Exposure to open-source tools and frameworks in the GenAI ecosystem (e.g., LangGraph, LlamaIndex, SmolAgents).
  • Deep commitment to quality, performance, and engineering excellence.


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