Distributed Systems Engineer – Vector Database (Prototype)
This a Full Remote job, the offer is available from: Israel, Egypt, Ukraine, Bulgaria, Poland, Romania, South Africa, Bangladesh, India, Vietnam, Philippines, Ghana, Nigeria, United Kingdom, Croatia, Brazil, Argentina, Mexico, Serbia
About the Role
HI Technology & Innovation is collaborating with a pioneering database company to evolve a single-threaded, command-line vector database proof-of-concept, originally written in C#, into a demonstrable, parallelized prototype. We’re looking for an experienced Distributed or Parallel Processing Engineer to lead the development of a lightweight “controller + wrapper” layer that adds multi-instance orchestration, parallelism, and query merging capabilities to the current system.
This is a high-impact, fast-paced role ideal for someone with strong distributed systems thinking and a pragmatic, get-it-done engineering mindset.
What You’ll Tackle- Design and implement a wrapper/controller layer around the existing single-threaded vector DB POC.
- Enable sharding and parallel loading of large vector datasets across multiple instances.
- Implement logic to dispatch and coordinate parallel queries, aggregate candidate vectors, apply a pluggable distance metric (e.g., Euclidean, cosine similarity, SAD/Manhattan), and merge and sort results before returning to the caller.
- Expose bothcommand-line and REST interfaces to interact with the system.
- Output clear timing metrics to demonstrate speed-ups from parallel execution.
- Deliver a working, testable prototype—production-ready polish is not required.
- Deep expertise in distributed computing and parallel processing, including MapReduce-style design patterns, data sharding, and inter-process communication (IPC).
- Proven track record as a senior engineer who can work independently, move quickly, and deliver results with minimal oversight.
- Strong problem-solving skills and practical experience building distributed systems and prototypes.
- Comfort working across multiple languages and runtimes. Choose whatever tech stack gets the job done fastest (Python, C#, C, etc.).
- Ability to clearly demonstrate and benchmark performance improvements.
- Timeline: Short-term, estimated 5–10 days of focused work.
- Start Date: ASAP
- Location: Remote
- Deliverables: Fully functional parallel prototype with CLI + REST interfaces, benchmark metrics, and sharded query support.
Ready to build something fast and clever? Apply now and help bring this proof-of-concept to life.
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