Responsibilities
What Youll Be Doing
Design and develop AI-powered applications using LangChain and LangGraph frameworks
Implement and optimize Model Control Protocol (MCP) integrations for AI agent workflows
Create sophisticated prompting strategies and prompt engineering solutions
Build robust backend services using Node.js and NestJS
Design and manage data pipelines with MongoDB and Redis for caching and session management
Collaborate with cross-functional teams to integrate AI capabilities into existing products
Research and implement emerging AI technologies and best practices
Optimize AI model performance and cost-effectiveness
Write clean, maintainable, and well-documented code
AI/ML Frameworks**: Hands-on experience building agents with LangChain and LangGraph or other related tech stack
Model Control Protocol**: Experience with MCP implementation and agent orchestration
Prompt Engineering**: Proven ability to design effective prompts for LLMs
Database Management**: Experience with MongoDB for data storage and Redis for caching
Cloud Services**: Proficiency with AWS services EC2, Lambda, S3, etc.
Bonus Points For
Bachelor's degree in Computer Science, AI/ML, or related field (or equivalent experience)
2+ years of experience in software development with AI/ML components
Understanding of AI agent architectures and multi-agent systems
Previous experience building production AI applications
Fine tuned a unique model – an advantage
