Hiring: Senior AI Application Engineer Company: EVERSANA Location: New York, NY Job Posted Time: 2026-09-10 14:08:02 Employment Type: Hybrid Target Skills & Keywords : AI, AWS, Azure, Data Pipeline, Docker, GCP, Kubernetes, LLM, Python, RAG, React, Rust, TypeScript About the job Experience: •7+ years of software engineering experience •3+ years specifically in generative AI, LLMs, or cognitive architectures. Required Skills: •As a Mid-Level AI / Agent Application Engineer, you will be the core builder of the organization's new agentic workforce. Working under the guidance of the Chief AI & Analytics Officer, you will develop the actual agents, write the APIs (tools) the agents will use, and optimize the data pipelines that feed context to the AI. •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, etc.). •Design secure "tool-calling" architectures, allowing LLMs to interact with internal databases, CRMs, and APIs safely. •Mitigate AI-specific security risks, such as prompt injection, hallucination loops, and unauthorized tool execution. •Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias. •All other duties as assigned. Qualifications: •The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required. •Ph.D. in Computer Science, Engineering (Electrical, Mechanical, Chemical), Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related field. •1 - 7+ years of software engineering experience •Expert-level proficiency in Python and/or TypeScript. •Comprehensive expertise in agentic design patterns (e.g., ReAct, Plan-and-Solve, Reflection, Tree of Thoughts, etc.). •Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models. •Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). •Extensive experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search). Compensation: •$178,000 - $215,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!