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)

On-site | Full-time

Compensation: Competitive

Our client is an elite development firm and a high-growth software company responsible for building the infrastructure behind the world’s largest crypto social networks and digital asset launchpads. Operating at the frontier of decentralized finance, the organization is composed of a mission-driven group of builders who prioritize speed, technical excellence, and talent density.

The organization is seeking a Reinforcement Learning (RL) Engineer to take end-to-end ownership of an RL-driven trading agent. This individual will manage real capital to increase trading volume and user participation within a high-velocity memecoin ecosystem. This is a high-stakes role designed for a "single-owner" expert who can bridge the gap between sophisticated modeling and live financial production. The successful candidate will transition existing heuristic-based systems toward learning-based approaches while enforcing rigorous risk parameters in a 24/7 global market.

Key Responsibilities

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

Founding Software Engineer (AI Evaluation Infrastructure)

Location: San Francisco, CA (FiDi)

Employment Type: Full-time

Work Arrangement: On-site (6 days a week in office)

About the Role

Our client, is a high-growth AI startup that is building the most complex infrastructure for frontier data creation and evaluation for LLMs and AI Agents. They work with all five of the leading AI labs and top-tier YC companies, reflecting their sharp growth rate and talent density. The company is backed by $3 million in funding and features a founding team from rigorous environments like Citadel Securities, Google, and Meta.

They are seeking a Founding Software Engineer for a high-impact, non-narrow role with end-to-end ownership. You will operate across the full stack and infrastructure, contributing directly to systems that push the frontier of AI evaluation.

What You’ll Do

Location: Palo Alto, CA

Employment Type: Full-time

On-site: 5 days/week in-office

About the Role

Our client, an AI company focused on dramatically accelerating semiconductor design, is seeking a world-class ML leader to architect and own their entire AI roadmap. They are solving the critical problem of exponentially increasing chip design costs by providing an integrated AI agent and code editor workflow to make silicon engineers 4x more productive. This is a foundational role where you will define the technical trajectory across the platform, including code generation, reinforcement learning, and layout optimization.

This position requires a deep, hands-on expert who can lead a growing ML team while actively contributing to the technical work.

Responsibilities

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Data QA is an important function within Zyte. The Data QA team works to ensure that the quality and usability of the data scraped by our web scrapers meets and exceeds the expectations of our enterprise clients. 

Are you passionate about data and data quality and integrity?

Do you enjoy using Python and AI to analyze and manipulate data, detect data quality issues, and visualize your findings?

Are you highly customer-focused with excellent attention to detail?

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an AI Engineer in India.

As an AI Engineer, you’ll play a critical role in designing, building, and optimizing machine learning models that solve complex problems and improve operational performance. This role involves working with large datasets, performing data analysis, and developing AI-driven solutions that directly impact decision-making and customer experience. You'll collaborate with cross-functional teams to understand business objectives, identify opportunities for automation, and contribute to the strategic growth of the company through innovative AI implementations.

Accountabilities:

Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
• Creating Scalable Machine Learning systems .
• Building reusable production data pipelines for implemented machine learning models
• Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Technical Skills Required:

·        Programming Languages: Proficiency in Python is essential; C++ experience is ideal but not required.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Forward-Deployed AI Engineer in the United States.

As a Forward-Deployed AI Engineer, you will work closely with customers to ensure the successful implementation of AI solutions. Your role will involve collaborating with analytics and business intelligence teams, enhancing product capabilities, and working with the applied science team to improve self-learning algorithms. You will be at the forefront of deploying AI pipelines in production at scale and will have the opportunity to contribute to product strategy and architecture.

Accountabilities:

AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results.

Key Responsibilities:

• Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions.
• Implement algorithms and models to improve performance and scalability across various platforms.
• Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications.
• Analyze large datasets to derive actionable insights and enhance existing AI models.
• Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects.
• Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team.
• Monitor model performance and iterate on design based on real-world feedback and data.

Requirements

Qualifications: