Senior Software Engineer, AI Agentic Platform
Required skills
- AI agent swarm
- orchestration pipelines
- developer tooling
- distributed systems
- LLM inference routing
- semantic search
- evaluation frameworks
- observability frameworks
- agent SDKs
- CI/CD automation
Nice to have
- Machine Learning
- agent harnesses
- fine-tuning models
- RLHF
- RLAIF
- optimization loops
Role summary
Metropolis is seeking a Senior Software Engineer to architect and build its AI agent swarm, orchestration pipelines, and developer tooling. This role involves solving complex distributed systems challenges at scale, making critical build-vs-buy decisions on AI infrastructure, and constructing low-latency agent orchestration frameworks. The engineer will collaborate with highly technical teams to deliver autonomous workflows and real-world experiences. Key responsibilities include designing production-grade agentic platform infrastructure, optimizing LLM inference, establishing observability frameworks, building developer tooling, and implementing security policies. The ideal candidate has 6+ years of backend experience with a focus on distributed systems and 2+ years in AI agentic systems, with strong proficiency in Python, Java, or TypeScript, and expertise in microservices, Kubernetes, AWS, and LLMOps.
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 isn't coming; it's 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 tooling. In 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 you'll do
What we're looking for
While not required, these are a plus:
Our Stack
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, you'll 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 $177,000.00 USD to $216,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's 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 candidate’s 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.We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.
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