Senior AI Application Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Architect, design, and implement scalable multi-agent systems to automate intricate, multi-step business processes.

• Convert existing processes and craft innovative multi-agent architectures for new opportunities.

• Develop agentic solutions utilizing orchestration frameworks like Google ADK, LangGraph, and CrewAI.

• Create secure tool-calling architectures that enable LLMs to interact safely with internal databases, CRMs, and APIs.

• Implement best practices for LLMOps and AgentOps.

• Address AI-specific security challenges, such as prompt injection, hallucination loops, and unauthorized tool execution.

• Enhance data pipelines that supply context to AI systems.

• Build agents and the APIs/tools they utilize.

• Engage with clients, stakeholders, or off-site personnel/management as necessary.

• Show a strong commitment to diversity, equity, and inclusion.

⛳️ Requirements

• Ph.D. in Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related discipline.

• 1–7+ years of experience in software engineering.

• Expert-level knowledge in Python and/or TypeScript.

• Familiarity with MCP architectures.

• Proficiency in Rust.

• Comprehensive understanding of agentic design patterns, including ReAct, Plan-and-Solve, Reflection, and Tree of Thoughts.

• Extensive experience with LLM APIs such as OpenAI, Anthropic, and Google Gemini.

• Experience with open-weight models like Llama 3 and Mistral.

• Background in vector and graph databases.

• Experience with RAG architectures, including GraphRAG and hybrid search.

• Strong knowledge of AWS, GCP, or Azure cloud architecture.

• Familiarity with Docker/Kubernetes containerization.

• Preferred: enterprise-scale deployment experience of multi-agent architectures.

• Preferred: expert-level proficiency in Rust.

• Preferred: 3+ years of experience specifically in generative AI, LLMs, or cognitive architectures.

• Preferred: extensive experience with RAG architecture.

• Ability to commit to a 40-hour work week, Monday to Friday.

• Some travel may be necessary.

🏝️ Benefits

• Competitive salary.

• Comprehensive benefits package.

• Option for remote work.

• Reasonable accommodations during the hiring process.

• Commitment to equal opportunity employment.