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.