Architect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces
Design and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools
Implement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access
Deploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data
Think team by partnering directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers
Own and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook
Use data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment
Write precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought

BS/MS in Computer Science or a related field
5+ years of production software engineering experience, with a significant focus on backend systems, platform engineering, or infrastructure
Advanced proficiency in Python, writing maintainable, production-quality code
Direct experience building AI agentic systems in production, including tool calling, multi-agent orchestration, or autonomous task execution
Deep familiarity with the generative AI ecosystem, including Large Language Models (LLM), orchestration frameworks, MCP, memory strategies, and execution sandboxing
Hands-on experience with AWS cloud infrastructure, containerized services, and Infrastructure as Code (Terraform)
Clear understanding of security and isolation in environments where AI agents execute code or access sensitive, regulated data
Ability to articulate technical tradeoffs clearly to cross-functional stakeholders using data
Operate with a 'build vs. buy' mindset to scale capabilities rapidly without compromising on precision
Background in biotech, healthcare, or regulated multi-tenant data environments is preferred

Senior Agentic Systems Engineer

Key skills