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Senior Backend & AI Platform Engineer

ID de Puesto
508859
Publicado desde
07-Junio-2026
Organización
Siemens Energy
Ámbito de trabajo
Product Management, Portfolio & Innovation
Empresa
SIEMENS ENERGY INDIA LIMITED
Nivel de experiencia
Profesional Experimentado
Tipo de jornada
Jornada completa
Modalidad de trabajo
Oficina/Solo presencial
Tipo de contrato
Indefinido
Ubicación(es)
  • Gurugram - Haryana - India
Role Summary
We are seeking a Senior Backend & AI Engineer with 6+ years of experience to lead the development and scaling of the Agentic AI platform. The role focuses on strong backend engineering, AI/ML engineering, pipeline ownership, data processing, and production hardening. 
Key Responsibilities
• Design and develop scalable backend services using Python (FastAPI/Flask).
• Own AI pipelines including RAG tuning, evaluation, and quality validation.
• Build and maintain data ingestion, preprocessing, and transformation pipelines.
• Implement APIs for agent orchestration, data services, and AI interaction layers.
• Drive platform hardening including performance optimization, monitoring, and observability.
• Collaborate with DevOps teams on CI/CD, deployment automation, and cloud infrastructure.
• Support transition from vendor to Siemens Energy ownership and ensure long-term scalability.
• Ensure platform reliability, uptime, and scalability using SRE and DevOps best practices.
• Optimize compute, storage, and inference costs while maintaining performance and quality.
• Establish strong governance, access control, and compliance processes across AI workloads.
• Collaborate cross-functionally with product, data science, engineering, and security to deliver high-impact AI features and integrations.
• Troubleshoot production issues and continuously improve the platform’s architecture and performance.

Technical Skills
• Strong expertise in Python backend development and microservices architecture.
• Experience with LLMs, RAG pipelines, and prompt engineering.
• Working experience on Agent application frameworks and on LLM model fine tuning.
• Hands-on experience with vector databases, knowledge graphs and data pipelines.
• Experience with Azure cloud services (Azure OpenAI preferred).
• Knowledge of containerization, CI /CD  and distributed systems.
Additional Preferred Skills
• Experience with multi-agent systems or orchestration frameworks.
• AI observability tools (e.g., Langfuse) experience.
• Knowledge of enterprise AI governance, performance tuning, and security.
• Experience in regulated industries or enterprise platforms.