onsite
AI Engineer - Qualis1 Inc
AI Engineer
AI Engineer focused on building agentic systems using LangChain, LangGraph, and MCP, integrating LLM streaming APIs from Vertex AI Gemini and AWS Bedrock to create scalable, multi‑agent solutions.
About the role
Key Responsibilities
- Design, develop, and maintain agentic architectures using Google Agent Development Kit (ADK), LangChain, and LangGraph.
- Implement Model Context Protocol (MCP) and FastMCP connectors for seamless inter‑agent communication.
- Integrate LLM streaming APIs from Vertex AI Gemini, AWS Bedrock, and other cloud providers to power real‑time agent interactions.
- Collaborate with data scientists and product teams to translate business requirements into robust, scalable agent solutions.
- Optimize performance, monitor latency, and troubleshoot issues across distributed agent networks.
Requirements
- Proven experience building agentic systems with LangChain, LangGraph, or similar frameworks.
- Strong knowledge of LLM streaming APIs and cloud AI services (Vertex AI Gemini, AWS Bedrock).
- Hands‑on experience with MCP, FastMCP, and A2A ACP inter‑agent protocols.
- Solid programming skills in Python and familiarity with containerization and CI/CD pipelines.
- Excellent problem‑solving abilities and a collaborative mindset.