Senior Software Engineer, AI Agentic Platform

Who we are

The real world is the next frontier and at Metropolis we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy a future where mundane repetition disappears and being known unlocks access comfort and belonging everywhere you go. From transforming parking into a seamless drive-in drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality we are building a world that feels instinctive and magical. The future isnt coming; its here and we need builders innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Software Engineer to architect and build our AI agent swarm orchestration pipelines and developer this role you will solve complex distributed systems challenges at scale make critical build-vs-buy decisions on rapidly-evolving AI infrastructure and construct low-latency agent orchestration frameworks that enable product engineering teams to deploy autonomous workflows seamlessly supporting both SDLC and business process automation. Working alongside highly technical hypernerds who live and breathe performance optimization model routing reliability engineering and agent protocols you will collaborate across Application Engineering Infrastructure and Advanced Technologies to deliver remarkable checkout-free real-world experiences.

What youll do

• Design and build production-grade agentic platform infrastructure including harness orchestration pipelines tool-use abstractions MCP integrations and context/memory management systems.
• Architect high-throughput low-latency LLM inference routing caching strategies and semantic search interfaces to optimize cost performance and token usage
• Establish robust evaluation tracing and observability frameworks (LLMOps/AIOps) to measure agent accuracy monitor execution paths and debug non-deterministic workflows
• Build developer tooling agent SDKs and CI/CD automation that empower product engineering teams to deploy autonomous AI agents safely and efficiently
• Implement enterprise-grade guardrails rate-limiting sandboxing and security policies for model execution and tool access
• Make critical architectural choices regarding service boundaries data consistency multi-agent communication protocols and overall system reliability
• Drive technical standards evaluate emerging AI tooling and mentor engineering peers on agentic architectural patterns

What were looking for

• 6 years of backend software engineering experience with deep focus on distributed systems platform infrastructure and high-load production environments
• 2 years of hands-on experience architecting and deploying agentic AI systems LLM orchestration frameworks or AI platform tooling
• Strong proficiency in Python or Java/TypeScript with production expertise in async concurrency API design and system performance tuning
• Production experience with modern agentic orchestration frameworks and protocols such as LangGraph Anthropic MCP Google ADK AutoGen A2A or LlamaIndex
• Expertise in microservices architecture container orchestration (Kubernetes) and cloud platforms (AWS)
• Observability and LLMOps expertise including metrics distributed tracing structured logging and debugging agent execution runs
• Database and data systems knowledge including relational databases vector databases event streaming (Kafka SQS) and caching patterns
• Demonstrated experience leveraging AI-powered development tools such as Claude Code GitHub Copilot or similar agentic coding tools for enhanced productivity and context engineering
• Excellent technical communication with the ability to design and document complex AI architectures and collaborate across cross-functional team

While not required these are a plus:

• Advanced degree in Computer Science Machine Learning or related technical field
• Experience building customized agent harnesses fine-tuning models or implementing RLHF/RLAIF optimization loops
• Security compliance expertise regarding data privacy prompt injection defenses secrets management and access controls for financial or mobility data
• Contributions to open-source agent frameworks MCP servers or technical writing on agentic system architectures

Our Stack

• Languages Frameworks: TypeScript React Scala (principally) Java (limited)
• Datastores: MySQL PostgreSQL Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

4 Days in Office: Metropolis values in-person collaboration to drive innovation strengthen culture and enhance the Member experience. Our corporate team members hold to our office-first model which requires employees to be on-site at least four days a week fostering organic interactions that spark creativity and connection

When you join Metropolis youll join a team of world-class product leaders and engineers building an ecosystem of technologies at the intersection of parking mobility and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $177000.00 USD to $216000.00 USD annually. The actual base salary offered is determined by a number of variables including as appropriate the applicants qualifications for the position years of relevant experience distinctive skills level of education attained certifications or other professional licenses held and the location of residence and/or place of employment. Base salary is one component of Metropolis total compensation package which may also include access to or eligibility for healthcare benefits a 401(k) plan short-term and long-term disability coverage basic life insurance a lucrative stock option plan bonus plans and more. #LI-LR1 #LI-Onsite

Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidates application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process Metropolis retains data relevant to your candidacy including personal information for a period that is reasonably necessary for the use of the tool. If you are hired for the position your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit qualifications and business needs without regard to race color religion sex (including gender identity sexual orientation and pregnancy) national origin disability veteran status or any other protected characteristic under federal state or local law.

Required Experience:

Senior IC