Lead Backend Engineer (Agentic AI)

About the Role:We’re looking for engineers who can design and build production systems that combine strong softwarefundamentals with hands-on exposure to modern AI/ML tooling specifically agentic AI workflows andModel Context Protocol (MCP) servers. You don’t need to come from a pure AI/ML background; whatmatters is strong core engineering skills, sound architectural judgment, and the ability to pick up (or alreadyknow) how to integrate AI agents into real systems. This is a single posting covering both Senior and Leadlevels candidates with 7 10 years of experience are encouraged to apply.Must-Have Skills Python strong, production-grade proficiency (primary language) Databases solid relational/SQL fundamentals; schema design, query optimization, data modeling Cloud platform strong hands-on experience with at least one of: Google Cloud Platform (Google Cloud Platform)(preferred), or AWS (acceptable alternative) 6+ years of professional software engineering experienceDesign & Architecture

Thinking Required: Strong grounding in modular design clear separation of concerns, well-boundedcomponents/services, low coupling / high cohesion Ability to design systems that scale horizontally statelessness where it matters, partitioning/shardingstrategy, load distribution, avoiding single points of contention Working fluency in core design patterns and principles (e.g., SOLID, domain-driven boundaries,event-driven/async patterns, idempotency, caching strategies, API versioning) and knowing when toapply vs. avoid them Comfortable reasoning about tradeoffs: consistency vs. availability, latency vs. throughput, build vs. buy,synchronous vs. async workflows For Lead specifically: expected to drive these principles set direction in design reviews, push back ondesigns that won’t scale, and mentor others toward this way of thinking rather than just applying itLead Should Have:Owns technical direction for a workstream or service area Drives modular, horizontally-scalable design decisions across the team not just follows them Leads design reviews, sets technical standards, mentors other engineers on architectural thinking Drives adoption of agentic AI / MCP patterns across the team Partners with product/architecture stakeholders on tradeoffsWhat We’re Really Screening For Strong in Python + SQL/databases as a baseline Solid architectural instincts modular, scalable design, not just “make it work” Proven in one major cloud (Google Cloud Platform strongly preferred, AWS acceptable) Comfortable or curious about Java (bonus, not blocker) Solid API/WebSocket integration practices reliability, security, and observability by default Open to learning / already exposed to agentic AI + MCP server patterns Ideally has touched healthcare/health-tech systems before, but this is a plus, not a gate