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Valiant Technologies LLC in Palo Alto seeks an AI-focused software developer with strong Python development experience and expertise in LLM orchestration, agentic AI workflows, and multi-agent systems. The ideal candidate will build AI-powered applications, integrate MCP servers, and work with cloud platforms and LLM providers.
Design, develop, and maintain AI-driven applications in Python; Go is a plus. Build and manage LLM orchestration and agent workflows across AWS and GCP, with REST/GraphQL
Location: Palo Alto,CA
Duration: 12 Months + Extension
Bill Rate: $78/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
We are seeking a skilled AI-Focused Software Developer with strong Python development experience and expertise in LLM orchestration, Agentic AI workflows, and multi-agent systems. The ideal candidate will have hands-on experience building AI-powered applications, integrating MCP servers, and working with modern AI agent frameworks, cloud platforms, and LLM providers.
Design, develop, and maintain AI-powered applications using Python; Go development experience is a plus.
Build and implement LLM orchestration and Agentic AI workflows.
Design, develop, and manage multi-agent systems and model governance solutions.
Implement Model Context Protocol (MCP) integrations and develop custom MCP servers.
Build 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.
Implement Retrieval-Augmented Generation (RAG) solutions and vector database integrations.
Use AI development tools such as Claude Code, GitHub Copilot, Cursor, and Windsurf.
Implement AI evaluation, monitoring, observability, and cost optimization practices.
Utilize Langfuse, LangSmith, and Braintrust for AI application tracking and evaluation.
Containerize and deploy applications using Docker and Kubernetes.
Collaborate with engineering teams to build scalable, reliable, and production-ready AI solutions.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.