Lead Backend & Cloud Engineer

At Synagi, we are pushing the frontier of distributed and decentralised AI agents. Our research spans vector-driven retrieval systems, agentic swarms, and resource-efficient multi-agent architectures—all with a sharp focus on real-world performance and human-in-the-loop alignment. We explore scalable, context-aware multi-agent designs that outperform monolithic approaches and keep compute costs in check.

As our Lead Backend & Cloud Engineer you will architect and own the entire high-throughput backend that powers Synagi's agent swarms. You'll write production-grade Python services that sustain tens-of-thousands of concurrent HTTP requests, expose clean gRPC/Web Socket/REST APIs, and keep everything shipping through automated CI/CD on Kubernetes. Your work is the foundation on which future research agents, and ultimately Synagi's vision of synergetic general intelligence will run.

• Design, build, and operate low-latency, scalable backend services in Python (e.g., FastAPI, aiohttp) that crawl the web, orchestrate agents, and stream data at high QPS.
• Implement gRPC, Web Socket, and REST endpoints for internal and public consumption.
• Own containerisation (Docker) and Kubernetes deployments, including Git Hub Actions–driven CI/CD pipelines and Helm/Terraform automation.
• Instrument everything with Prometheus metrics for performance and uptime monitoring.
• Collaborate with the AI Platform Engineer to integrate vector databases such as Pinecone into production search workflows.

• 3+ years building high-QPS backend services in Python, with deep knowledge of async runtimes.
• Proven production experience shipping gRPC, Web Socket, and REST APIs.
• Hands-on expertise with Kubernetes, Docker, and Git Hub Actions (or similar CI/CD).
• Solid grasp of performance profiling, capacity planning, and incident response for distributed systems.
• Production experience with Pinecone vector database for semantic search and embedding workflows.

• Experience building AI agents.
• Familiarity with vector stores such as Vespa or Milvus for large-scale similarity search.
• Interest in Web Assembly / edge compute to push ultra-low-latency functions closer to users.

Send your resume—plus a short note (3–5 sentences) describing a production system you scaled or a performance bug you crushed—to  .

We offer highly competitive salary, early-stage equity, and an opportunity to be the backbone of the future of Synergetic General Intelligence .

Synagi is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.