Senior Engineer, AI Systems

Location: Remote / U.S. (PST preferred)

Experience: Senior (5+ years)

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Who we are

At Omada.ai, we're redefining how small and mid-sized businesses create, launch, and scale their marketing, powered by AI.

Our platform blends human-centered design with intelligent automation, giving brands access to AI-driven creative agents that produce videos, graphics, campaigns, and insights in real time. Behind every one of those experiences is a system of agents, pipelines, and services that has to be fast, reliable, and able to scale.

If you're excited about designing the backbone of an AI-first product, this is where you'll want to be.

The Role

We're looking for a Senior Engineer, AI Systems, who can turn complex, multi-step AI workflows into robust, scalable, and observable backend systems.

You'll own the architecture of the services that power Alpha and our AI marketing team: agent orchestration, tool and model harnesses, event-driven pipelines, and the APIs that stream results to our users. You'll work closely with product, frontend, and AI teams. This is a 0→1 environment: you'll shape the platform, the codebase, and the engineering practices from the ground up.

Responsibilities

• Lead design and development of the Python services that power Omada's AI-driven marketing platform.
• Own backend system design, including service boundaries, data models, event flows, and failure handling that scale from prototype to production.
• Build and evolve the harnesses our AI agents run in: tool calling, orchestration, retries, guardrails, evaluation, and cost/latency controls.
• Design clean, well-versioned APIs across REST, Server-Sent Events, and WebSockets, including streaming model output to real-time frontends.
• Architect serverless and event-driven workflows on AWS using Lambda, Step Functions, DynamoDB, SQS, and EventBridge.
• Build observability into everything: structured logging, metrics, distributed tracing, and alerting that let us see how agents and services behave in production.
• Design microservices that scale under bursty, long-running AI workloads, with idempotency, back-pressure, and graceful degradation built in.
• Participate in code reviews, design reviews, testing, and incident retrospectives to uphold high engineering standards.
• Stay ahead of emerging patterns in agent architectures, LLM tooling, and cloud infrastructure.

What we're really screening for

• Systems design & architecture
• You can design, and clearly articulate, a complex distributed system: service boundaries, data modeling, consistency trade-offs, failure modes, and scaling strategy. Expect to whiteboard this with us.
• AI tools & harnesses
• You've built production systems around LLMs, such as agent loops, tool-calling frameworks, orchestration layers, evaluation pipelines, or streaming inference. You understand what makes AI systems reliable, debuggable, and cost-efficient.
• Serverless & event-driven AWS
• You've shipped real systems on Lambda, Step Functions, DynamoDB, SQS, and EventBridge, and you know their limits, pricing quirks, and failure behavior from experience, not documentation.
• Startup / 0→1 product building
• You've taken systems from nothing to shipped, navigating ambiguity, making pragmatic trade-offs, and moving fast without a big team or a finished spec behind you.

Requirements

• 5+ years of experience building and operating production-grade backend systems.
• Strong proficiency in Python, including async programming, packaging, testing, and modern frameworks (FastAPI or similar).
• Required: hands-on, production experience with AWS Lambda, Step Functions, DynamoDB, SQS, and EventBridge.
• Deep understanding of API design and real-time protocols: REST, SSE, and WebSockets, including when to use each.
• Proven experience designing for scalability, observability, and microservice architectures.
• Working knowledge of building AI tools, agents, or model harnesses using LLM APIs.
• Experience with infrastructure as code (CDK, Terraform, or SAM) and CI/CD pipelines.
• Experience with observability tooling (CloudWatch, X-Ray, OpenTelemetry, Datadog, or similar).
• Degree in Computer Science or a related field (or equivalent experience).

Bonus Points

• Experience with agent frameworks, MCP, or building evaluation systems for LLM output.
• Experience with media processing pipelines (video, image, or audio generation).
• Open-source contributions, infrastructure side projects, or AI tooling experiments you're proud of.

What you'll love about working here

• Work on cutting-edge AI and creative technology used by thousands of SMBs.
• Own core architecture decisions that shape the platform for years.
• Freedom to experiment and ship fast in a startup environment that values creativity and impact.
• Competitive compensation, flexible remote work, and opportunities for rapid growth as we scale.

How to apply

Email careers@omada.ai with your resume, a short cover letter, and, most importantly, links to systems you've built. An architecture write-up, open-source repo, or side project that shows how you think about systems will get our attention faster than anything else.