Senior Agentic Systems Engineer in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Agentic Systems Engineer in the United States.

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.

• 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

• 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

• 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