AI Engineer

NK Securities Research; Gurugram District; Vor Ort; INR 1.200.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Competitive salary package

Catered breakfast and lunch

Monthly team dinners

Annual team trips

Zusammenfassung

NK Securities Research is seeking engineers to develop AI systems that enhance research and infrastructure. In this role, you will collaborate with quant researchers to build reliable tools that improve research speed without compromising performance. You will have real ownership of your projects from design to deployment in a collaborative environment.

The ideal candidate has experience deploying AI technologies, strong system design capabilities, and a background in optimizing performance. We offer a competitive salary and a dynamic work environment with ample opportunities for career growth.

Qualifikationen

• 1–5 years of experience deploying AI systems in production.
• Familiarity with machine learning technologies like transformers.
• Ability to optimize performance in data-heavy environments.

Aufgaben

• Ship models that meet latency and reliability expectations.
• Add monitoring and rollback mechanisms before deployment.
• Build observability into the AI systems you create.

Kenntnisse

System design

AI system deployment

Performance monitoring

Transformers and embeddings

Tools

C++

Rust

Go

Jobbeschreibung

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 Overview

We’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 Build

Production AI

Ship 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

AI for Engineers & Researchers

Build tools that genuinely speed up research and development

Improve code understanding, review workflows, and internal knowledge retrieval

Keep systems auditable and predictable

LLM & Retrieval Systems

Implement structured RAG and embedding pipelines with validation in place

Create safe integration layers between models and internal systems

Performance & Standards

Track latency, drift, and stability — not just accuracy

Build observability into everything you ship

Help raise the bar for how AI is engineered here

What We’re Looking For

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

Why This Role

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

What We Offer

• 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.