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We are seeking a highly skilled and experienced Senior AI Engineer a deep understanding of asset-heavy industries such as oil & gas, manufacturing, or utilities to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems.
Job Responsibility
Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads
Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs
Build CI/CD pipelines with integrated prompt regression testing and version control
Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows
Monitor system performance using tools like Langfuse or Prometheus
Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data
Apply preprocessing pipelines for text, images, and code
Ensure data integrity, format consistency, and security across sources