NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes.
Role OverviewWe’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production.
What You’ll BuildProduction AIShip models that meet defined latency and reliability expectation
Add monitoring, rollback, and guardrails before anything goes live
Optimise inference across CPU/GPU environments when it matters
Plug AI into data-heavy workflows without hurting performance
Work within existing low-latency architecture instead of fighting it
Profile and remove bottlenecks rather than guessing
Build tools that genuinely speed up research and development
Improve code understanding, review workflows, and internal knowledge retrieval
Keep systems auditable and predictable
Implement structured RAG and embedding pipelines with validation in place
Create safe integration layers between models and internal systems
Track latency, drift, and stability — not just accuracy
Build observability into everything you ship
Help raise the bar for how AI is engineered here
Clear thinking around system design and performance trade-offs
Experience deploying AI systems in production (1–5 years is typical)
Familiarity with transformers, embeddings, or LLM deployment
Nice to have:
Exposure to C++ / Rust / Go
Experience in distributed or performance-critical environments
Comfort operating with ownership and minimal hand-holding
You’ll build AI systems that directly impact research and infrastructure
You’ll work with engineers who argue about trade-offs — and care about getting them right
You’ll have real ownership from design to deployment
- Competitive salary package.
- A dynamic, high-performance, and collaborative work environment.
- Strong focus on career growth and development.
- Catered breakfast and lunch.
- Monthly team dinners.
- Annual international and domestic team trips.
Skills Required
- Strong Python fundamentals
- Clear system design and performance trade-off thinking
- Experience deploying AI systems in production (1-5 years typical)
- Familiarity with transformers, embeddings, or LLM deployment
- Exposure to C++ / Rust / Go
- Experience in distributed or performance-critical environments
- Comfort operating with ownership and minimal hand-holding
What We Do
NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes
