Senior AI Agent Architect & Engineer

EVERSANA; New York (NY); On-site; USD 178,000 - 215,000; Full time

Job summary

EVERSANA seeks a Mid-Level AI / Agent Application Engineer to build the organization's new agentic workforce. You will design scalable multi-agent systems, develop the tools agents use, and optimize data pipelines feeding context to the AI.

You will work beneath the Chief AI & Analytics Officer to implement agent orchestration and secure tool-calling architectures. The role requires expertise in Python/TypeScript, LLM APIs, and modern cloud/container tech, with travel and a 40-hour work week.

Qualifications

• Ph.D. in Computer Science, Engineering, Mathematics, Physics, AI, Software Engineering, or closely related field.
• 1–7+ years of software engineering experience.
• Expert-level proficiency in Python and/or TypeScript.
• Experience with MCP architectures.
• Proficiency in Rust.
• Deep understanding of agentic design patterns (e.g., ReAct, Plan-and-Solve, Reflection, Tree of Thoughts).
• Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models (Llama 3, Mistral).
• Experience with vector and graph databases.
• Experience with RAG architectures (GraphRAG, hybrid search).
• Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Responsibilities

• Architect, design and implement scalable, multi-agent systems that automate complex, multi-step business processes.
• Translate existing processes, and develop novel multi-agent architectures for new opportunities.
• Implement agentic solutions leveraging agent orchestration frameworks (e.g., Google ADK, LangGraph, CrewAI).
• Design secure "tool-calling" architectures, allowing LLMs to interact with internal databases, CRMs, and APIs safely.
• Implement LLMOps/AgentOps best practices.
• Mitigate AI-specific security risks, such as prompt injection, hallucination loops, and unauthorized tool execution.

Job description

EVERSANA seeks a Mid-Level AI / Agent Application Engineer to build the organization's new agentic workforce. You will design scalable multi-agent systems, develop the tools agents use, and optimize data pipelines feeding context to the AI.

You will work beneath the Chief AI & Analytics Officer to implement agent orchestration and secure tool-calling architectures. The role requires expertise in Python/TypeScript, LLM APIs, and modern cloud/container tech, with travel and a 40-hour work week.