AI Software Engineer: LLM Orchestration & Agents

Artifintech; Palo Alto (CA); On-site; USD 89,000 - 126,000; Full time

Job summary

Artifintech in Palo Alto seeks an AI-Focused Software Developer to design, build, and scale AI-powered applications using Python. Go is a plus; strong experience with LLM orchestration and agentic AI workflows is required.

You will implement MCP server integrations, develop multi-agent governance solutions, and deploy across AWS/GCP. Familiarity with REST/GraphQL, Docker, and Kubernetes is expected to ship production-quality AI solutions. This is a 12-month engagement with potential extension.

Qualifications

• Strong Python development experience; Go is a plus.
• LLM Orchestration and Agentic AI Workflows.
• Multi-Agent Systems and Model Governance.
• MCP Integrations and Custom MCP Server Development.
• LangGraph, Google ADK, Mastra, and Claude Agent SDK.

Responsibilities

• Design, develop, and maintain AI-powered applications using Python; Go development is a plus.
• Build and implement LLM orchestration and Agentic AI workflows.
• Design, develop, and manage multi-agent systems and model governance solutions.
• Implement MCP integrations and develop custom MCP servers.
• Develop AI agents and workflows using LangGraph, Google ADK, Mastra, and Claude Agent SDK.
• Integrate LLM services using OpenAI SDK and Anthropic SDK.
• Develop and integrate REST and GraphQL APIs for AI-powered applications.
• Deploy and manage AI solutions across AWS and GCP cloud environments.
• Work with SQL and NoSQL databases for application data management.
• Containerize and deploy applications using Docker and Kubernetes.

Skills

Python development

Go development

LLM orchestration

Agentic AI workflows

Multi-agent systems

Model governance

APIs (REST/GraphQL)

Cloud platforms (AWS/GCP)

Tools

LangGraph

Google ADK

Mastra

Claude Agent SDK

OpenAI SDK

Anthropic SDK

Docker

Kubernetes

Langfuse

LangSmith

Braintrust

Job description

Artifintech in Palo Alto seeks an AI-Focused Software Developer to design, build, and scale AI-powered applications using Python. Go is a plus; strong experience with LLM orchestration and agentic AI workflows is required.

You will implement MCP server integrations, develop multi-agent governance solutions, and deploy across AWS/GCP. Familiarity with REST/GraphQL, Docker, and Kubernetes is expected to ship production-quality AI solutions. This is a 12-month engagement with potential extension.