Senior AI Application Engineer

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

📋 Description

• Design, architect, and implement scalable multi-agent systems that streamline intricate, multi-step business processes.

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

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

• Create secure tool-calling architectures to ensure safe interactions between LLMs and internal databases, CRMs, and APIs.

• Implement best practices for LLMOps and AgentOps.

• Address AI-specific security concerns, including prompt injection, hallucination loops, and unauthorized tool executions.

• Build agents, develop the APIs/tools they utilize, and enhance data pipelines to provide AI context.

• Collaborate under the direction of the Chief AI & Analytics Officer.

• Exhibit a commitment to diversity, equity, and inclusion while actively managing bias.

• Travel as necessary for client interactions, stakeholder engagements, or off-site meetings.

⛳️ 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.

• Advanced proficiency in Python and/or TypeScript.

• Familiarity with MCP architectures.

• Proficient in Rust.

• In-depth knowledge 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, including Llama 3 and Mistral.

• Familiarity with vector and graph databases.

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

• Strong foundation in cloud architecture using AWS, GCP, or Azure.

• Experience with Docker/Kubernetes containerization.

• Preferred: experience in enterprise-scale deployment 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 architectures.

🏝️ Benefits

• Competitive salaries and benefits.

• Reasonable accommodations during the interview and hiring process for qualified applicants with disabilities.

• Confidential treatment of candidate information in accordance with EEO guidelines.