Job Description:

About the Role:
 

We are seeking a seasoned Senior AI Architect to design, architect, and deliver transformative, end-to-end intelligent software solutions leveraging Large Language Models (LLMs). In this strategic role, you'll lead architectural initiatives, driving scalability, reliability, and user-focused outcomes within our core technology stack (FastAPI/Python, Next.js/TypeScript, GCP), using Cursor as your primary development environment.

As a Senior AI Engineer, you'll architect and oversee the implementation of robust AI-enabled microservices designed for direct integration into applications, as well as MCP (Model Context Protocol) servers that provide abstraction and structured, context-aware interactions for AI agents. Your vision will shape our products, improve decision-making, and significantly enhance user engagement and scalability. You will own strategic architectural decisions to ensure our AI infrastructure is modular, performant, and built for long-term scale.

Key Responsibilities:

• Architect and lead development of scalable, end-to-end LLM-powered agentic systems, including strategic planning, memory management, structured prompt engineering, and multi-agent orchestration.
• Define, implement, and optimize MCP-compliant servers, establishing robust, modular, and context-rich interactions among AI components.
• Provide strategic direction and technical leadership for developing APIs and backend services using FastAPI to orchestrate complex agent workflows.
• Oversee design and development of dynamic, performant frontend applications built in Next.js for intuitive user interaction with intelligent systems.
• Lead architectural planning and execution of deployments on Google Cloud Platform (Cloud Run, GKE, Cloud Functions), ensuring high availability, scalability, and cost efficiency.
• Implement sophisticated multi-agent coordination using orchestration frameworks such as AutoGen, CrewAI, or LangGraph, ensuring cohesive, structured reasoning among distributed agentic components.
• Design and optimize integrations with vector databases (e.g., Qdrant), establishing schemas and pipelines for efficient long-term memory, semantic search, and retrieval.
• Act as a technical liaison between product, engineering, and infrastructure teams to align architecture with business strategy. Mentor engineers on best practices for AI architecture, scalability, and performance.

Requirements:

• 5–8+ years of full-stack software engineering experience, with at least 2+ years explicitly focused on architecting AI-driven production systems.
• Proven ability to architect and deliver complex, scalable solutions leveraging LLMs (OpenAI, Hugging Face, etc.).
• Deep experience with Python (FastAPI), TypeScript (Next.js), and extensive knowledge of GCP infrastructure.
• Demonstrated expertise in designing or significantly contributing to MCP servers or similar structured context-management systems.
• Advanced knowledge of orchestration patterns, multi-agent systems, and frameworks (AutoGen, CrewAI, LangGraph).
• Strong experience designing integrations and schema structures for vector databases (e.g., Qdrant).
• Proficiency with Cursor or a strong willingness to adopt it fully as your primary development tool.

Preferred Qualifications:

• Experience leading teams or major projects involving LLM-powered multi-agent orchestration.
• Deep understanding of agent tool integrations (search APIs, code execution environments).
• Proven skill in advanced prompt engineering, chaining methodologies, and task decomposition.
• Experience with LLM evaluation frameworks and debugging complex distributed agent environments.
• Contributions to open-source projects related to MCP-compatible or agent-based systems.

What You’ll Gain:

• Influence cutting-edge AI technology shaping user interactions across various applications.
• Strategic ownership of systems leveraging the Model Context Protocol, directly impacting product and technology direction.
• Collaboration in a technically curious, innovation-driven environment with a clear vision for the future of intelligent systems.
• The opportunity to join a forward-thinking team dedicated to shaping the future of intelligent systems and transforming how users interact with technology.
• Opportunity to architect and deliver cutting-edge, production-level intelligent systems using advanced LLM and multi-agent technologies.
• Strategic ownership of AI-driven systems leveraging the Model Context Protocol, significantly influencing our technical direction.
• A highly collaborative, innovation-driven environment using modern development tools and best practices.
• Visibility and leadership opportunities within a team shaping the future of AI infrastructure and applications.

Salary:

$139,000 - $149,000/yr

Consertus is an equal opportunity employer encouraging individuals with disabilities and veterans to apply."  However, you can always go online and find ones that are more descriptive like the example below.

We are committed to creating a diverse and inclusive workplace and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law.

We encourage individuals from all backgrounds and experiences to apply.