Senior Agentic Systems Engineer

Accountabilities:

• Architect, build, and maintain AI agent orchestration platforms, including multi-agent systems, session management, and streaming interfaces for LLM-driven applications

• Design and implement Model Context Protocol (MCP) servers that expose domain capabilities as composable, reusable AI tools

• Develop secure and isolated execution environments, including sandboxed code execution, scoped permissions, HITL workflows, and tenant-aware data access controls

• Deploy and manage containerized services on AWS using Terraform, optimizing for performance, scalability, cost efficiency, and observability

• Integrate specialist AI agents across products by collaborating directly with ML, data, and product engineering teams without translation layers

• Own end-to-end delivery of technical solutions from concept to production, validating assumptions and closing system gaps proactively

• Diagnose and resolve complex distributed system issues across agent orchestration, infrastructure, and LLM providers using data-driven analysis

• Write high-quality, tested Python code with a strong focus on reliability, maintainability, and production readiness

Requirements:

• Bachelor’s or Master’s degree in Computer Science or a related field

• 5+ years of production software engineering experience with strong focus on backend systems, platform engineering, or infrastructure

• Strong expertise in Python and building production-grade distributed systems

• Proven experience building AI agentic systems, including tool calling, multi-agent orchestration, or autonomous task execution

• Deep understanding of the generative AI ecosystem, including LLMs, orchestration frameworks, MCP, memory strategies, and execution sandboxing

• Hands-on experience with AWS, containerized services, and Infrastructure as Code (Terraform)

• Strong knowledge of security, isolation, and data protection in environments handling sensitive or regulated data

• Ability to clearly communicate technical tradeoffs to both technical and non-technical stakeholders

• Strong ownership mindset with ability to operate independently in ambiguous environments

• Preferred: experience in biotech, healthcare, or regulated multi-tenant data systems

Benefits:

• Competitive salary range: $124,800 – $156,000 USD (based on experience and location factors)

• Comprehensive medical, dental, vision, life, and disability insurance

• 401(k) retirement savings plan and commuter benefits

• Generous parental leave, including pregnancy and baby bonding support

• Free access to internal testing benefits for employees and immediate family members

• Fertility care benefits and employee referral program

• Fully remote work flexibility within the United States

• Opportunity to work on cutting-edge AI systems in a mission-driven, high-impact environment

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

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