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.
