Applied AI Engineer

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

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

Start Date: Q1 2026

Software engineering is being turned on its head. While tools like Claude and GitHub Copilot are great for repetitive tasks, the real challenge lies in the "Last Mile": building the infrastructure and workflows that allow a team to use AI to its maximum potential without sacrificing the rigors of mission-critical software.

We are looking for an exceptional Applied AI Engineer to join our team in Austin. We are a well-funded ($40M) startup backed by top-tier investors like Paradigm and Electric Capital. We 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 our entire organization’s impact by embedding AI deeply into how we engineer and operate. You will stay at the absolute frontier of AI development, ensuring our team evolves from "using AI" to "effectively managing a team of AI agents" with consistent quality and guardrails.

What You Will Do:

Who we are;

Octopus by RTG is enabling a key partner organization to grow their tech teams while focusing on AI. We are currently looking for the right pioneers to join the team!

Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.

Octopus is specialized in rapidly assembling remote & onsite global tech teams that are fully aligned with the culture and practices of a particular brand. By providing tailored hubs to suit its clients needs, Octopus gives companies all the advantages of remote work and offshoring without all the negatives.

You will be working with one of our partners in Saudi that is transforming the insurance industry in the Kingdom with smart, instant, and purposeful solutions

Reinforcement Learning (RL) Engineer

Location: New York (Office)

Compensation: $600K - $800K

We are a team of elite builders and high-growth software developers moving at the speed of the most active markets in the world. As core contributors to one of the largest crypto social networks globally, we are redefining the intersection of social engagement and decentralized finance.

We are seeking a battle-tested Reinforcement Learning Engineer to take end-to-end ownership of an RL-driven trading agent. This agent will deploy real capital within a high-velocity ecosystem to drive volume and participation. This is not a research role; you will be the sole RL expert responsible for transitioning our existing heuristic systems into sophisticated, learning-based models. You will be expected to move fast, enforce strict risk guardrails, and ship code that directly impacts the global crypto economy.

Requirements

We are looking for an autonomous operator who has "skin in the game" experience. You should be comfortable working without a massive research organization or dedicated ML infrastructure team.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

Requirements

**This position is contingent on contract award**

Come Join Our Team! First Division Consulting (FirstDiv) provides program management, acquisition, logistics, field service representative, explosive ordnance disposal, and personnel support services to Department of Defense and Federal Government Agencies. We are a Virgina Verified Service-Disabled Veteran-Owned Small Business and a Small Disadvantaged Business. If you are looking for a company who has an overall rating on Glassdoor of 4.8 and who puts their people first, then continue to read below and join the FirstDiv team!

**This position is contingent on contract award**

Come Join Our Team! First Division Consulting (FirstDiv) provides program management, acquisition, logistics, field service representative, explosive ordnance disposal, and personnel support services to Department of Defense and Federal Government Agencies. We are a Virgina Verified Service-Disabled Veteran-Owned Small Business and a Small Disadvantaged Business. If you are looking for a company who has an overall rating on Glassdoor of 4.8 and who puts their people first, then continue to read below and join the FirstDiv team!

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:

**This position is contingent on contract award**

Come Join Our Team! First Division Consulting (FirstDiv) provides program management, acquisition, logistics, field service representative, explosive ordnance disposal, and personnel support services to Department of Defense and Federal Government Agencies. We are a Virgina Verified Service-Disabled Veteran-Owned Small Business and a Small Disadvantaged Business. If you are looking for a company who has an overall rating on Glassdoor of 4.8 and who puts their people first, then continue to read below and join the FirstDiv team!

**This position is contingent on contract award**

Come Join Our Team! First Division Consulting (FirstDiv) provides program management, acquisition, logistics, field service representative, explosive ordnance disposal, and personnel support services to Department of Defense and Federal Government Agencies. We are a Virgina Verified Service-Disabled Veteran-Owned Small Business and a Small Disadvantaged Business. If you are looking for a company who has an overall rating on Glassdoor of 4.8 and who puts their people first, then continue to read below and join the FirstDiv team!

Founding Full-Stack Engineer - AI Production Systems

Location: San Francisco, CA (On-site)

Employment Type: Full-time

Compensation: $200K - $275K

We are building the first telemetry and production system designed for large language models (LLMs), giving them complete visibility into and control over running software, beginning with automatic error fixes.

We are seeking a Founding Full-Stack Product Engineer who is comfortable wearing all hats in a fast-paced environment. This role is highly dynamic, bridging classical full-stack engineering with cutting-edge Generative AI product features.

Key Responsibilities: