AI HFT Developer

Location:

Department:

About the Role

AI High-Frequency Trading (HFT) Developer

Key Responsibilities

• Design and implement

  low-latency trading algorithms

  using AI/ML techniques (LLMs, reinforcement learning, deep learning).
• Develop, test, and deploy

  execution strategies

  across equities, futures, crypto, and other asset classes.
• Optimize system performance for

  nanosecond-level latency

  using advanced data structures, C++/Rust/Python, and GPU acceleration.
• Research and integrate

  AI/ML models

  for price prediction, sentiment analysis, and order book forecasting.
• Build and maintain

  real-time market data ingestion pipelines

  with millisecond-level throughput.
• Collaborate with quantitative researchers and traders to

  translate trading ideas into production strategies

  .
• Conduct rigorous backtesting, simulation, and

  live PnL monitoring

  of strategies.
• Ensure compliance with

  risk controls, regulatory requirements, and exchange protocols

  .

Required Skills & Qualifications

• Bachelor’s/Master’s/PhD

  in Computer Science, Quantitative Finance, Engineering, or related field.
• 2+ years of experience in

  HFT, algorithmic trading, or low-latency systems

  .
• Strong expertise in

  C++/Rust/Java

  (for latency-critical components) and

  Python

  (for research and ML pipelines).
• Solid background in

  machine learning, deep learning, reinforcement learning, or time-series modeling

  .
• Experience with

  market microstructure, order books, FIX protocols, and exchange connectivity

  .
• Hands-on experience with

  GPU computing (CUDA), FPGA optimization, or distributed systems

  is a plus.
• Knowledge of

  cloud (AWS/GCP/Azure)

  and

  big data tools (Kafka, Flink, Spark)

  for data engineering.
• Strong problem-solving ability with an

  entrepreneurial mindset

  and drive for innovation.

Nice to Have

• Experience in

  crypto HFT/DeFi market making

  .
• Familiarity with

  agentic AI

  and

  large language models for trading insights

  .
• Prior contributions to

  open-source AI/quant projects

  .

What We Offer

• Exposure to cutting-edge

  AI + trading innovations

  .
• Opportunity to work with a

  world-class quant and AI team

  .
• Competitive compensation with

  performance-linked bonus

  .
• A fast-paced environment that encourages

  innovation and ownership

  .