Description

You will build and deploy scalable, AI-enabled microservices.

This role is on-site.

Responsibilities

• Architect and deliver design for AI-enabled microservices using AWS, Node.js, and Python.
• Prototype and iterate on AI-driven product ideas into production-ready features.
• Implement monitoring, logging, and automated alerting for AI workflow traceability.
• Accelerate development by integrating AI-assisted tools and LLMs into the stack.

Required Skills

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 2 years of software engineering experience, including 1 year in a technical lead role.
• Strong proficiency in Python, TypeScript, and Node.js.
• Deep understanding of cloud-native and event-driven architectures.
• Hands-on experience integrating LLMs, intelligent agents, or IDP systems into production.
• Familiarity with Agent-to-Agent (A2A) and Model Context Protocol (MCP) frameworks.
• Experience with AWS, Node.js, Python, CloudWatch, DataDog, and Prometheus.
• Proficiency with AI tooling like OpenAI, Bedrock, GitHub Copilot, and Cursor.

Preferred Skills

• Practical experience operationalizing LLM-based agents or automation pipelines.
• Background in generative AI integration within secure, regulated environments.

Key Skills

Education

Bachelor's degree