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Senior AI Engineer
Siemens Technology
Bengaluru
5+ years
2 days ago
$41.0K–54.2K/yr
Full-time
Onsite
Skills Required
LLM
RAG
LangChain
Vector Database
Local LLM inference
Agentic frameworks
Prompt Engineering
Python
RDF
SPARQL
SHACL
Azure
Docker
OAuth
OIDC
Description
Senior AI Engineer role in Research & Development at Siemens Technology and Services Private Limited. The position focuses on building production-grade AI systems with agentic workflows, knowledge graphs, retrieval, evaluation, deployment, and observability.
Company: Siemens Technology and Services Private Limited
Role: Senior AI Engineer
Location: Bangalore - Karnataka - India
Experience
- Experienced Professional
- 5+ years software engineering
- 2+ years building AI/ML applications in production
Qualification
- Bachelors degree or masters degree equivalent
Responsibilities
- Build multi-step AI pipelines with orchestration frameworks
- Integrate tools and human approval checkpoints into agentic workflows
- Implement domain knowledge graphs, validation shapes, and ingestion pipelines
- Build hybrid retrieval and citation pipelines with verifiable sources
- Create regression-gated evaluation harnesses and metrics pipelines
- Implement and test across on-premises, hybrid, and cloud configurations
- Add structured logging, tracing, and monitoring for production AI systems
- Deliver production-grade Python engineering
- Apply AI/ML production practices across deployment environments
Additional Responsibilities
- Work within data sovereignty or offline constraints
- Use local and cloud-hosted LLM inference
- Support security patterns for multi-tenant systems
Nice To Have
- Electrical power systems exposure
- Protection engineering exposure
- Industrial automation exposure
- Engineering data standards exposure such as IEC 61850 or COMTRADE
- Safety-critical or regulated domain exposure
More Skills
Lang Graph, IEC 61850, COMTRADE, async programming, clean APIs, testing, dependency management, tool-use patterns, stateful workflows, graph data modelling, validation, hybrid retrieval, chunking, reranking, citation enforcement, regression gating, golden datasets, experiment versioning, containerization, CI/CD, multi-tenant isolation, least-privilege patterns
Prepare for this role
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