Senior 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.

Our team is based in Tehran and pays salaries monthly in USD .

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:

- 5+ 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:

- 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.

How We Hire:

We use a deliberate, transparent two-stage process designed to see how you think and build:

- 1. A 120-minute conversation focusing on your background and a collaborative system-design exercise and cultural fit..

- 2. A 120-minute live technical session involving code review, live coding, and a self-review.

You may complete the technical session in your strongest language (Python, Go, Java, Kotlin, PHP, or TypeScript/Node.js). Web search is encouraged; AI assistants are not used. We want to see your fundamental engineering judgment.

What We Offer:

- Competitive USD-based salary and a 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!

Originally posted on Himalayas