Lead Software Engineer Python

Siemens

8 - 13 years

11 - 15 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

production dl design patterns ml python css rust deep learning react.js tensorflow java oops html mysql api mongodb software development data processing microsoft azure aws sagemaker machine learning javascript node.js django aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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