Remote-Senior Software Engineer-Intuit

S M Software Solutions Inc; Canada; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A technology company is seeking a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems. The candidate will develop and optimize workflows using advanced tools like LangChain in cloud environments. Key responsibilities include integrating vector databases, creating APIs, and applying best practices for monitoring and observability.

Qualifications

• Advanced Python skills, with experience in asynchronous programming.
• Experience with LangChain and vector databases for data retrieval and generation.
• Understanding of MCP Servers.

Responsibilities

• Design and deploy LLM-driven RAG workflows to enhance content generation.
• Integrate and manage vector databases for optimized data retrieval.
• Use AWS services to build scalable serverless architectures.
• Build APIs to support low-latency interactions.

Skills

Proficiency in LLM and RAG Workflows

Python Proficiency

Proficient in AWS environment

Job description

Job description:

We are looking for a Senior Software Engineer specializing in Retrieval-Augmented Generation (RAG) systems, with experience in large language models (LLMs), vector databases, and cloud-based microservices. Your role will focus on building, integrating, and optimizing LLM workflows using LangChain and managing complex infrastructure with AWS services like Lambda and ECS. You'll bring expertise in containerized environments, using Docker, and work with vector databases to power data-driven applications. You will report to a Staff Software Engineer and work remote in the United States or hybrid based on proximity to our office.

You'll Have Opportunity To

• RAG Workflow Development: Design and deploy LLM-driven RAG workflows using LangChain and vector databases to provide high-accuracy data retrieval and enhanced content generation.
• Vector Database Management: Integrate and manage vector databases like Qdrant for optimized, high-speed vector searches and data retrieval.
• Cloud Computing: Use AWS services, including Lambda and ECS, to build serverless architectures and scalable containerized applications.
• API & Backend Development: Build APIs with FastAPI and Uvicorn to support low-latency interactions and handle high traffic volumes.
• Monitoring & Observability: Implement observability best practices using Datadog, ddtrace, and logging tools to maintain performance and troubleshoot complex workflows.

Qualifications

Required Skills:

• Proficiency in LLM and RAG Workflows: experience with LangChain and vector databases, applying RAG techniques for intelligent data retrieval and generation.
• Python Proficiency (>=3.11, <3.12): Advanced Python skills, including experience with asynchronous programming.
• Proficient in AWS environment
• Understanding of MCP Servers