Distributed Systems Engineer – Vector Database (Prototype)

Описание

Since we were established in 2012, headquartered in the United Kingdom, we have rapidly expanded to lead the way in technology partnerships, collaborating with numerous businesses worldwide.

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.

What We’re Looking For

• 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.

Engagement Snapshot

• 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.