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Metro location and broad platform skillset increase applicant density despite seniority and niche AI orchestration focus.
High because platform-level AI orchestration and backend expertise are specialized and less transferable across industries.
High due to explicit 10+ years requirement, principal-level seniority, and specialized orchestration, security, and observability skills.
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Architect and evolve the MCP / ACP ecosystem enabling standardized AI agent interactions with business systems through safe, observable, and auditable APIs.
Define and implement reusable orchestration patterns for multi-step AI workflows incorporating validation, retries, state management, and fallback handling.
Establish company-wide AI interaction standards and lead technical design and architecture decisions across teams building AI-native systems.
10+ years of software engineering experience, including expertise in distributed backend systems, APIs, orchestration layers or platform infrastructure.
Proven ability to design and operate high-scale backend systems with strong knowledge of state management, concurrency, reliability, and distributed execution.
Strong understanding of LLM interactions with tools, including schema design, structured outputs, predictable execution patterns, and orchestration reliability.
Experience defining technical standards and influencing engineering direction across multiple teams through architecture and design reviews.
Senior engineer comfortable in the 8-14 years principal level range with deep domain expertise in backend distributed systems and AI orchestration.
Strong systems thinker skilled at abstraction and creating scalable reusable platform capabilities rather than isolated solutions.
Experienced collaborator able to partner cross-functionally with Platform, Security, SRE, and Product teams to enable AI-native development patterns and operational excellence.