J

Senior Agentic Systems Engineer

Jobgether • United States
Remote
This Job is No Longer Active This position is no longer accepting applications

Design and build production-grade agentic systems that orchestrate large language models and generative AI workflows at scale. Partner with ML engineers, data engineers, and product teams to translate complex AI capabilities into reliable, secure, and scalable systems. Work in a fast-evolving AI ecosystem where precision, experimentation, and system reliability are critical.

Key Highlights
Architect, build, and maintain AI agent orchestration platforms
Design and implement Model Context Protocol (MCP) servers
Deploy and manage containerized services on AWS using Terraform
Key Responsibilities
Architect, build, and maintain AI agent orchestration platforms
Design and implement Model Context Protocol (MCP) servers
Deploy and manage containerized services on AWS using Terraform
Integrate specialist AI agents across products
Diagnose and resolve complex distributed system issues
Technical Skills Required
Python Backend systems Platform engineering Infrastructure as Code (Terraform) AWS Containerized services Generative AI ecosystem Large language models Orchestration frameworks Memory strategies Execution sandboxing
Benefits & Perks
Competitive salary range: $124,800 - $156,000 USD
Comprehensive medical, dental, vision, life, and disability insurance
401(k) retirement savings plan and commuter benefits
Nice to Have
Experience in biotech, healthcare, or regulated multi-tenant data systems

Job Description

This role sits at the frontier of applied artificial intelligence, where you will design and build production-grade agentic systems that orchestrate large language models and generative AI workflows at scale. You will help shape a platform that connects multimodal biomedical and clinical data to intelligent agents capable of supporting scientific and therapeutic innovation. Working in a highly collaborative, research-driven environment, you will partner closely with ML engineers, data engineers, and product teams to translate complex AI capabilities into reliable, secure, and scalable systems. Your work will directly influence how data is transformed into actionable insights that support healthcare and life sciences breakthroughs. This is a hands-on engineering role requiring strong ownership across architecture, implementation, and deployment. You will operate in a fast-evolving AI ecosystem where precision, experimentation, and system reliability are critical.
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