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Linkedin · Posted 24d ago
AI Engineer
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Indexed description
Roles and Responsibilities
- Design and implement modular AI systems and workflow orchestration solutions using LangGraph and LangChain.
- Develop and optimize RAG pipelines for intelligent search, dependency analysis, and workflow automation.
- Integrate and fine-tune multiple LLM platforms for automated code analysis and generation tasks.
- Manage PostgreSQL databases with pgvector for efficient similarity search and data persistence.
- Build scalable tools for file processing, model operations, logging, and application monitoring.
- Collaborate with engineering teams to modernize legacy applications and automate development workflows.
- Ensure performance, reliability, and maintainability of AI-driven applications.
- Strong proficiency in Python and AI application development.
- Hands-on experience with:
- LangChain and LangGraph
- RAG pipelines and vector databases
- PostgreSQL with pgvector
- LLM integrations such as GPT-4, Claude, Gemini, and Vertex AI
- Experience designing AI workflows for:
- Code analysis
- Reverse/forward engineering
- Code summarization and dependency transformation
- Knowledge of workflow orchestration, state management, and modular AI architectures.
- Experience building robust utilities for logging, monitoring, file handling, and error management.
- Strong understanding of REST APIs, backend integrations, and scalable system design.
- Experience with Knowledge Graphs and semantic data models.
- Familiarity with Java and React technology stacks.
- Experience working in enterprise or regulated environments such as insurance or finance.
- Strong analytical, troubleshooting, and communication skills.
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