> Markdown version of [/jobs/ext/4402194-software-engineer-backend](https://www.wearedevelopers.com/jobs/ext/4402194-software-engineer-backend). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer (Backend) - **Company:** Syndesus, Inc. - **Location:** New York, NY, United States - **Experience:** Experienced - **Salary:** $180,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Databases, Search Technologies, TypeScript, Large Language Models, Backend, Build Management - **Published:** October 17, 2026 - **Apply:** https://www.thejobnetwork.com/job/736b7bdf-a249-44b7-8baf-5652867bd344/software-engineer-backend ## About the Role * 4+ years of backend engineering experience * You've built from zero to one: designed systems and databases from scratch or at an early stage, and your architecture and data decisions had real impact * Strong fundamentals in system design and databases, with good judgment on when to move fast and when to build for scale * You can break down large, ambiguous problems and own large technical surfaces * Experience at a venture-backed startup, ideally through a period of growth and scaling Nice to have * Startup experience in New York or San Francisco * Founder or founding engineer experience * TypeScript and AWS (their stack), though strong engineers from any stack are welcome * Exposure to LLMs or AI products (not required) ## Description This is a backend-focused engineering role reporting directly to the CTO. Work is project-based and spans the product: building recommendation agents, reworking the database layer to cut latency on very large data ingestion, and running research experiments. Over time you'll take ownership of the parts of the product you know best. What you'll do * Define and build product end to end, with full ownership from design through deployment and scale * Design and build large-scale systems, data models, and infrastructure * Tackle ambiguous, unsolved problems in AI search by running experiments and turning results into product * Join customer calls from time to time, as every engineer on a small team does