Software Engineer

We are an AI-first company building innovative agentic frameworks — the systems that let LLM-driven agents research, plan, and act reliably in production. That means orchestrating multi-step workflows with retries, skips, and parallel execution; keeping long-running work persistent and observable; and serving per-tenant retrieval at scale. This isn't about wrapping an LLM in an API call — it's the hard backend engineering that makes agents dependable.
Our stack is Python (FastAPI) on AWS, with Terraform. We hire on engineering depth and judgment, not on a keyword count — and we work in whichever language you're strongest in during the interview (more below). As a Senior Engineer, you will own backend services and the orchestration layer on top of them — from design through deployment, operation, and the on-call that follows.
What You Will Do:

• Design, build, and own backend services and the agent-orchestration layer end to end.
• Build resilient systems that stay correct under load and degrade gracefully when a model, tool, or dependency fails.
• Ensure operational excellence by making long-running, multi-step work observable and debuggable in production.
• Shape technical direction through rigorous code reviews, mentorship, and pushing back on specifications when they misalign with engineering reality.
• Drive the full software development lifecycle, translating ambiguous requirements into durable architectures and actionable technical plans.

What We Are Looking For:

• 4+ years building and operating production backend systems, with deep ownership of at least one non-trivial service you can talk through end to end.
• Deep fluency in your primary backend language, and the ability to pick up a new one fast. We work in Python; if it is not your daily language today, we expect you to ramp quickly.
• Strong systems fundamentals — concurrency, data modeling, and failure modes — and the judgment to choose the right abstraction rather than the cleverest one.
• Sound reasoning under ambiguity: you ask the clarifying question first, make the trade-offs explicit, and adapt when the constraints change.
• Solid grasp of infrastructure and operations, including message brokers (Kafka, RabbitMQ), SQL and NoSQL stores, and running services in containers with an orchestrator (Kubernetes, ECS, Nomad, or similar).
• Professional written English, enabling you to write crisp design documents and align stakeholders on complex technical trade-offs.

Even Better:

• Python and FastAPI in production — our core stack.
• AWS (especially ECS) and Terraform, or comparable cloud and Infrastructure-as-Code experience.
• Hands-on work with LLM, agentic, or RAG systems (LangChain, CrewAI, OpenAI/Anthropic SDKs, Hugging Face) and a real grasp of how non-deterministic agent steps differ from ordinary functions.
• A recognized-bar engineering background, owned open-source work, or another verifiable standout signal.

What We Offer:

• Competitive salary and comprehensive benefits package.
• Hybrid work flexibility with hours that support deep work.
• The opportunity to work at the frontier of agentic AI, tackling hard problems with high ownership.
• A highly educated, agile senior team that values pragmatism, learning, and continuous improvement.

If you would rather be judged on how you think than on a buzzword list, we would like to talk!