Staff Software Engineer - Backend & AI Infra

Remote | Full-time

Location: Based in US to GMT timezones

Compensation: Competitive Compensation Package

Our client is a high-growth technology firm. They are seeking a Staff Software Engineer to spearhead two critical domains: the core agent runtime and backend infrastructure powering a high-frequency trading fleet, and the comprehensive migration of model hosting and agent deployment to in-house, proprietary infrastructure.

This is a foundational, high-impact building role. The successful candidate will design and implement the backend services, runtime engines, and deployment systems that enable a fleet of autonomous agents to operate with superior speed, reliability, and intelligence. By moving away from third-party LLM providers and hosted platforms, this role will establish the sovereign infrastructure necessary for the next generation of autonomous financial software.

Key Responsibilities

Agent Runtime & Backend Development

Location: Singapore

Hybrid | Full-time

Compensation: $105K - $145K

Our client is a premier prime broker for the Hyperliquid ecosystem, developing mission-critical infrastructure to facilitate institutional-grade algorithmic trading at scale. As the decentralized finance (DeFi) landscape evolves toward high-frequency and institutional requirements, our client provides the essential bridge for professional trading firms to access advanced on-chain liquidity.

The organization is seeking a Growth Lead to spearhead the expansion of its partner ecosystem, total value locked (TVL), and overall platform adoption. This is an end-to-end business development role designed for a high-agency individual who can navigate the complexities of institutional trading and the nuances of decentralized protocols. The successful candidate will be responsible for sourcing institutional users and building the strategic partnerships necessary to solidify our client's position as a market leader in the prime brokerage space.

Key Responsibilities

Location: San Francisco, CA, US

On-site | Full-time

Compensation: $170K - $230K•0.15% - 0.30%

A high-growth, venture-backed startup based in San Francisco is seeking an ambitious Full Stack Engineer to join their engineering-driven team. This is a role for an individual who thrives in high-stakes, fast-paced environments where code deployed one night is demoed to thousands the next morning.

Our client provides an agentic Operating System for sales that closes the loop between coaching and execution. Having recently secured a $15M Series A and experiencing 5x ARR growth year-over-year, the organization is scaling rapidly. The engineering culture is defined by radical ownership, speed, and technical excellence. The team is composed of former founders and high-achievers who prioritze impact over process.

This role is strictly on-site five days a week in San Francisco. It is designed for an engineer with "something to prove" who is looking to operate with massive autonomy during a period of hyper-growth.

Key Responsibilities

Front End Engineer (Product Engineer)

Location: New York, NY

On-Site | Full-time

Compensation: $200K/yr - $325K/yr

Our client is a high-growth fintech firm building the next generation of trading and portfolio management technology. Founded by industry veterans from top-tier quant shops, the organization has secured over $100M in funding to rethink how financial institutions manage trillions in assets. The core product suite handles everything from high-throughput market data to complex portfolio optimization. Our client is looking for a driven Engineer to help build the performant, data-rich interfaces that power these mission-critical workflows.

You will own the user experience for platforms that handle massive data scale and complex financial operations. This isn't just about building "dashboards"—it's about engineering intuitive interfaces for real-time position tracking, smart order routing, and high-cardinality optimization.

Key Responsibilities

Staff Full Stack Engineer

Location: New York

On- site | Full-time

Compensation: Competitive

Our client is a premier development organization responsible for building and operating a high-stakes technology stack that powers one of the largest and most active token launchpads in the decentralized finance (DeFi) ecosystem. The systems involved are engineered for low latency and high throughput, operating under constant, significant load where precision and system reliability are critical.

The organization is seeking a Full Stack Engineer to play a vital role in scaling cutting-edge platforms at the intersection of cryptocurrency and social finance. This individual will work across the entire technical stack to deliver high-performance, user-centric applications. The environment is characterized by an intense pace, high expectations, and immediate real-world impact. This role is ideal for a high-agency engineer who thrives on ownership and is motivated by the challenge of building products used by massive, global audiences.

Key Responsibilities

Key Responsibilities

As a Commercial Analytics Analyst, you will play a critical role in supporting and enhancing the Commercial team's strategic efforts by:

· Preparing financial models and conducting in-depth analysis to evaluate various high-stakes transactions, including:

o   Vessel sales and purchases

o   Equity raises

o   Profit-sharing agreements

o   Investment in new maritime technologies

o   Vessel financing and refinancing

· Managing and coordinating various commercial projects to ensure timely and efficient execution

· Preparing presentations for both corporate and project-related initiatives, tailored to different stakeholders

· Maintaining comprehensive records for market research and business intelligence purposes, ensuring access to up-to-date data for decision-making

· Facilitating communication between departments to ensure smooth project flow and alignment across teams

Key Skills & Attributes for Success

To excel in this role, you will need to demonstrate a high level of analytical ability, exceptional attention to detail, and a proactive mindset. Success in this role will depend on your ability to manage complex, high-pressure situations while remaining organized and effective.

Founding AI Engineer

Location: San Francisco, CA (In-person)

Compensation: $150K – $200K • 0.10% – 0.25% Equity

We believe that the way engineering output is measured today is fundamentally broken. Our mission is to build the definitive platform for understanding and improving how engineering teams work. By leveraging modern AI, we provide teams with a far more accurate and actionable view of productivity, impact, and collaboration—moving beyond vanity metrics and surveillance toward better engineering outcomes.

As our Founding AI Engineer, you will be responsible for building the intelligence that understands the nuances of software engineering work. You aren't just implementing models; you are building the processes and standards that will define our technical foundation. You will work directly with our CTO (MIT alum, founding engineer background) and CEO (experienced sales leader) in a high-intensity, $4.2M seed-funded environment.

Key Responsibilities:

Applied AI Engineer

Location: Austin, TX (Hybrid - 3 days in-office)

Compensation: $200k - $250k base + Equity

Start Date: Q1 2026

We are hiring on behalf of our client who is looking for an exceptional Applied AI Engineer to join their team in Austin. They are a well-funded ($40M) startup backed by top-tier investors like Paradigm and Electric Capital. They are currently rebuilding the infrastructure of the global financial system—bringing it fully on-chain to make it faster and safer. Your mission is to level up their entire organization’s impact by embedding AI deeply into how they engineer and operate. You will stay at the absolute frontier of AI development, ensuring their team evolves from "using AI" to "effectively managing a team of AI agents" with consistent quality and guardrails.

What You Will Do:

Staff Mobile Engineer (React Native)

Location: Fully remote in Europe or India

Compensation: $60K - $70K

We are a fast-scaling financial technology startup operating at the intersection of Prediction Markets, AI, and Blockchain.

Our platform is currently processing $200M in annualized volume and experiencing explosive growth of 100% week-over-week. We are backed by elite institutional investors, including a $500M AUM digital asset fund and a premier AI/Crypto accelerator with a sub-1% acceptance rate. We are looking for a world-class Staff Mobile Engineer to own our iOS experience and build a high-stakes trading environment where performance is the primary product feature.

As a Staff Mobile Engineer, you will be the architectural lead and primary owner of our iOS trading experience. This is a product-critical role where your code sits directly between our users and live, real-money markets. You will work in a high-bandwidth environment alongside the CEO, COO, and founding engineering team to ship a mobile experience that rivals the best in TradFi.

Key Responsibilities:

Senior AI Data Engineer (Agentic Systems)

Location: USA / Europe / Israel - with a 5hour overlap with EST hours

Compensation: $130K - $150K

We are hiring on behalf of our client who build the technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models currently secure over $200 billion in assets across the world's largest decentralized protocols, having processed more than $5 trillion in transaction volume. They recently launched a pioneering Financial Intelligence Platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to every participant in the ecosystem.

The Role: They are looking for a Senior AI Data Engineer to design and build the agentic systems powering their intelligence platform. You will work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.

Responsibilities: