[Hiring] Senior Platform Engineer @Rifa AI

Role Description

While Agent Engineers own individual client deliveries, you own the platform underneath all of them: the runtime that agents execute on, the voice infrastructure that keeps live calls fast and stable, the enterprise capabilities that get us through security reviews, and the intelligence layer that turns millions of conversations into insight. This is the highest-leverage engineering seat in the company: every improvement you ship reaches every client at once.

You'll work directly with the founder on architecture and own your decisions end to end, from design through production and the incident channel.

What you'll do

• Build the agent platform primitives.
• Design and evolve the runtime, orchestration engine, and the systems behind Agent Studio.
• Own the voice infrastructure.
• Form the foundation of enterprise trust.
• Build the evaluation layer.
• Build the observability layer.
• Close the feedback loop.
• Keep the platform fast, reliable, and boring to operate.

What we work with

• Python with FastAPI, PostgreSQL, Temporal for background workflows.
• WebSockets holding real-time conversations open.
• STT and TTS providers on the speech side.
• LLMs via OpenAI and similar underneath.
• Kubernetes with ArgoCD-driven GitOps deployments.
• SigNoz for observability.
• DeepEval driving the eval suite our CI runs before anything reaches production.
• Ory and OpenFGA for identity and access management.

What you'll bring

• 5+ years of hands-on experience building and operating production systems.
• Proven experience with cloud platforms, infrastructure as code, and container orchestration.
• Real-time systems depth.
• Experience with observability tooling and incident response.
• Pride in building reliable, maintainable, and secure systems that scale.
• High agency in a high-autonomy environment.
• Degree in computer science or a related field, or equivalent professional experience.

Even better...

• Experience building enterprise features.
• Production experience with LLMs, agent frameworks, retrieval, or evaluation systems.
• Telephony or streaming audio experience.
• Experience with large-scale data systems, analytics platforms, or ML-powered product features.
• Experience building developer platforms, SDKs, or internal tooling.
• Leadership experience on technical projects or teams.

How we work

Small teams, real ownership. You'll have peers to pair with and review your work, and you'll review theirs. We review all code, we write things down, and we'd rather hear an honest "I don't know yet" than a confident wrong answer.

Our values

• Trust: We do the right thing, especially when nobody is checking.
• Transparency: We write things down, share the real numbers, and say "I don't know yet" out loud.
• Technically best solution: We choose what's right, not what's easiest or trendiest.
• Decisiveness: We decide quickly with the information we have, commit, and correct course fast.
• Simplicity: We keep systems, processes, and words simple.