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Senior AI Engineer, LangGraph Specialist
SS&C Technologies. Build enterprise LLM applications and RAG pipelines over complex unstructured documents .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in building enterprise LLM applications and RAG pipelines, with a strong focus on async Python, REST APIs, and microservices. Proficient in designing LangGraph state machines and applying advanced vector representations and embedding models for complex unstructured documents.
Highest-signal resume keywords
LLM Application EngineeringRAG Pipeline DevelopmentAsync Python ProgrammingREST API DesignLangGraph State Machine Design
ATS Keywords
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Hard Skills
PythonPyTorchTransformersLangChainLangGraphVector RepresentationsEmbedding ModelsDistance MetricsRetrieval TuningMicroservices
Tools & Technologies
Git WorkflowsREST APIs
Industry Keywords
Enterprise ApplicationsUnstructured DocumentsComplex Document SourcesPDFsFinancial Filings
Tech Stack
Tools & technologiesMicroservicesPythonPyTorch
About the role
Key responsibilities & impact- Build enterprise LLM applications and RAG pipelines over complex unstructured documents
- Design and implement LangGraph state machines with conditional routing and parallel execution
- Apply vector representations, embedding models, distance metrics, and retrieval tuning
- Develop software using async Python, REST APIs, microservices, and Git workflows
Requirements
What you’ll need- 7–10 years in software development, with at least 3 years focused on LLM application engineering, RAG, and agent frameworks
- Advanced mastery of Python, PyTorch/Transformers, LangChain, and LangGraph, including state machine design, conditional routing, and parallel execution
- Demonstrated experience building enterprise RAG pipelines over complex unstructured document sources, including PDFs, multi-page tables, and financial filings
- Deep understanding of vector representations, embedding models, distance metrics, and retrieval tuning
- Strong core software development discipline: async Python (asyncio), REST API design, microservices, and Git workflows