AI Engineer

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.

Required Skills

• 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.

Preferred Skills

• 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.