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EVERSANA

Senior AI Application Engineer

EVERSANA

. Architect, design and implement scalable, multi-agent systems that automate complex, multi-step business processes .

Posted 5/8/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $160,000 - $175,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonReactRustTypeScript

About the role

Key responsibilities & impact
  • 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 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
  • Implement LLMOps/AgentOps best practices
  • 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

Requirements

What you’ll need
  • Master’s or Ph.D. in Computer Science, Engineering (Electrical, Mechanical, Chemical), Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related field
  • 5+ years of software engineering experience, with 2+ years specifically in generative AI, LLMs, or cognitive architectures
  • 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, etc.)
  • Extensive experience with LLM APIs (OpenAI, Anthropic, Google Gemini) and open-weights models (Llama 3, Mistral, etc.)
  • Experience with vector and graph databases
  • Experience with RAG (Retrieval-Augmented Generation) architectures (e.g., GraphRAG, hybrid search)
  • Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker/Kubernetes)

Benefits

Comp & perks
  • Competitive salaries and benefits for all employees
  • Health insurance
  • Full time employment
  • Professional development opportunities
  • Flexible working arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonTypeScriptRustMCP architecturesagentic design patternsLLM APIsopen-weights modelsvector databasesgraph databasesRAG architectures
Soft Skills
commitment to diversityequityinclusionmodeling inclusive behaviorsmanaging bias
Certifications
Master’s degreePh.D.