Staff Frontend Engineer: Low-Latency Trading Interface

Location: Remote - Fully remote in Asia

Compensation: $40K - $60K

Join a high-growth technology company at the forefront of Prediction Markets, AI, and Blockchains. We are experiencing parabolic growth, managing $200 million in annualized volume and growing at over 100% weekly. Our vision is backed by influential investors, including a $500 million AUM digital asset fund and an exclusive AI/crypto accelerator with a sub-1% acceptance rate.

This is a senior, high-impact role dedicated to building a performance-critical trading interface where usability, correctness, and speed are the competitive edge. You will operate directly on systems involving real money and high market risk.

The Staff Frontend Engineer will be a key architect responsible for the user-facing side of our low-latency, high-throughput trading systems. You will translate complex trading data and execution paths into a fluid, responsive, and reliable user experience.

What You'll Do:

Staff Backend Engineer: High-Frequency Trading Systems

Location: Remote - Fully remote in Asia

Compensation: $80K - $100K

Join a hyper-growth technology firm defining the future at the intersection of Prediction Markets, AI, and Blockchains. We are experiencing a rapid scale-up, currently managing $200 million in annualized volume with weekly growth rates exceeding 100%. Our platform is backed by leading institutional capital, including a major $500 million AUM digital asset fund and an elite AI/crypto accelerator known for its sub-1% acceptance rate.

This is a critical, high-leverage role to own and scale mission-critical trading systems. You will work on performance-critical infrastructure where correctness, ultra-low latency, and reliability are non-negotiable.

The Staff Backend Engineer will be responsible for architecting, building, and maintaining the core trading infrastructure. This role focuses on low-latency, high-throughput systems that sit directly in the execution path, operating close to real money and high market risk.

What You'll Do:

Member of Technical Staff - Model Engineer

Full-time | On-site

Location: San Francisco

We are seeking a founding Member of Technical Staff to join our core AI team and drive the modernization of a foundational global industry. This role offers the chance to work directly with the company's founders to define the technical direction and build AI from the ground up, combining hardware, software, and operations.

As a Model Engineer, you will be deeply involved in the entire lifecycle of model development, from research and data preparation to production deployment in real-world systems. You will play a crucial role in building the AI capabilities that enable a vertically integrated infrastructure platform.

What you'll do:

AI Engineer (Automotive Software)

Full-time | Hybrid

Location: Sunnyvale, CA

We are a technology leader driving the transformation to AI-enabled software-defined vehicles. Our platform is essential for accelerating the shift from traditional automotive software to systems that evolve rapidly, update seamlessly, and improve continuously. We are seeking an AI Engineer to join our team, working at the cutting edge of in-vehicle intelligence and large-scale data processing.

As an AI Engineer, you will be instrumental in the end-to-end development, optimization, and deployment of machine learning and deep learning models that enhance vehicle systems. You will work with complex algorithms and vast datasets to create smarter, safer, and more intuitive vehicles.

Key Responsibilities:

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

Staff Frontend Engineer - Global Trade Comment Network

Location: New York City (Hybrid)

Compensation: $180K - $250K

We are building the global trade comment network, a protocol designed to solve the core problem of discovery in trading: what to buy and why. Our solution allows users to comment on their trades and see the trade comments of others, turning trading into a high-frequency social activity. We are backed by world-class investors and are seeking a highly experienced Staff Frontend Engineer to build and scale our mobile and web applications.

This is a high-impact role requiring deep experience in building and scaling complex mobile and web applications that power high-frequency social interactions. You will own the responsibility for ensuring a smooth UX and sub-second rendering across feeds of thousands of items, tackling meat-and-potatoes software engineering challenges to deliver a reliable and engaging product across devices.

Key Responsibilities & Projects:

Founding Product Engineer (AI Consumer Outreach)

Location: Remote, USA

Employment Type: Full-time

Work Arrangement: Fully Remote

About the Role

Our client is a US consumer outreach and prospecting platform that is redefining how brands find and engage new customers. Their platform leverages 11 billion datapoints and 240 million US consumer prediction profiles to provide intelligent automated matching and multi-touch B2C outreach. The company recently raised $5 million in funding.

They are seeking a Founding Product Engineer to build and ship full-stack features that power their AI-driven outreach platform. This is a high-impact, hands-on role where you'll lay the foundation of the entire technology stack, influence product direction, and turn massive datasets into real customer impact.

What You'll Do

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Scientist for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site (minimum 3 days per week)

About the Role

Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.

You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.

What You'll Do

Being one of the most tech driven shipping companies, we are seeking an AI Specialist with expertise in Machine Learning and Large Language Models (LLMs) to join our Digital Transformation team. You will design and implement AI solutions, fine-tune models like GPT, and build intelligent systems that enhance business processes through automation and advanced analytics.

• Define AI strategies aligned with business goals (e.g., automation, prediction)
• Lead development and fine-tuning of ML/LLM models for industry-specific use cases
• Build full ML pipelines: preprocessing, training, evaluation, deployment
• Develop intelligent agents and autonomous AI workflows
• Monitor models for drift and optimize performance as needed
• Report on performance and recommend retraining or tuning
• Document solutions for smooth internal adoption
• Ensure compliance with data privacy and AI governance standards
• Stay updated on AI trends, tools, and best practices

Requirements