Role Description We are building an autonomous trading agent system where agents operate 24/7, making real decisions and generating real outcomes. We’re looking for a Staff AI Engineer to build the intelligence layer that enables the fleet to learn from trading data and continuously optimize performance. What You’ll Do - Build feedback loops from outcomes → strategy improvements (signals, risk, timing) - Develop evaluation frameworks to identify what drives profitable trades - Automate strategy generation, backtesting, and deployment - Design multi-agent learning and fleet coordination systems - Own ML/LLM systems end-to-end: data → model → production → measurable impact Qualifications - Proven ML engineering experience in production environments - Background in reinforcement learning or online learning (closed-loop systems) - Strong programming skills (Python required; Go/TypeScript is a plus) - Experience building data pipelines and distributed systems - Nice to have: fintech/trading, LLM fine-tuning, multi-agent systems Requirements - You focus only on research/papers - You primarily do prompt engineering Benefits - Total compensation: ~$450K+ - Base: $175K–$250K - Equity + token upside - Ideal for engineers who want to build AI systems with direct, measurable impact on real-world performance. Company Description Ant-tech is a reputable headhunter agency in France, specializing in providing high-quality recruitment services for companies across various industries. With a team of experienced professionals and an extensive network of partners, Ant-tech connects talented candidates with organizations in need, particularly in the technology, finance, and other sectors. Committed to delivering optimal recruitment solutions, Ant-tech focuses not only on finding the right talent but also ensuring long-term and sustainable growth for both candidates and partner companies.

Lead the development of defenses against AI misuse, define evaluation strategies for safety weaknesses, and set technical direction for scalable mitigation techniques, ensuring responsible AI behavior in production systems.

Title: AI Engineering Manager Location: Bydgoszcz, Gdańsk, Katowice, Kraków, Lublin, Opole, Poznań, Warszawa,Poland Wrocław Work Type: Hybrid Job ID: 455978-en_US Job Description: The Opportunity As an Engineering Manager - Agentic for Neo within the Global Delivery Center, you will play a pivotal role in shaping the future of Capgemini's Group wide AI platform. Neo is a newly launched strategic initiative, and this role sits at the heart of its evolution driving the development and operationalization of next generation agentic capabilities at scale. You will lead a specialized engineering team focused on agent based systems, working closely with product, AI research, cloud, and change teams. This is a unique opportunity to combine people leadership, technical depth, and innovation to influence how autonomous and agentic systems are designed, built, and deployed across the organization. About Group IT At Group IT, we believe that difference drives change. Our vision is bold, and our mission is clear: to empower the business through technology that enables efficiency, profitability, and sustainable growth. We deliver enterprise wide solutions by harmonizing global standards and integrating all business units into a unified IT services model. As a strategic partner to the business, Group IT translates complex needs into actionable initiatives, advocating for our stakeholders across the global technological landscape. We are currently driving a series of transformative rollouts and initiatives that enhance security, streamline operations, and elevate digital experiences for every Capgemini employee around the globe. Our ambition is to build a connected, intelligent, and inclusive IT enterprise accessible to anyone, anytime, anywhere. This is your opportunity to lead change, shape the future, and build technology that matters. Your Role As Engineering Manager for Agentic capabilities within Neo, you will be responsible for both technical leadership and people management, ensuring high quality delivery while fostering innovation and engineering excellence. In this role, you will: - Lead, coach, and grow the Agentic engineering team, ensuring delivery of high quality, reliable agent based features - Own and align the design, development, and evolution of Neo's agentic platform components - Define and standardize best practices for agentic development, experimentation, and MLOps - Collaborate closely with product, AI research, cloud, and change teams to translate strategic needs into implementable solutions - Drive innovation by identifying, evaluating, and integrating emerging technologies and approaches in agentic and autonomous systems - Ensure scalability, reliability, and operational readiness of agentic capabilities deployed across the platform - Act as a key contributor to the overall technical direction and roadmap of Neo - Foster a culture of continuous improvement, experimentation, and engineering excellence Your Profile - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - Proven experience leading and managing engineering teams, ideally in AI/ML, agentic systems, or platform development - Strong understanding of agentic architectures, AI/ML concepts, and model operationalization in production environments - Hands on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies such as Docker and Kubernetes - Solid technical background in Python or similar languages, with experience deploying and operating distributed systems About us The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses. We do this by unleashing human energy, imagination, and ingenuity through the power of technology, with the goal of achieving an inclusive and sustainable future. We are a responsible and diverse organization of nearly 336,000+ people, present in over 50 countries. With a rich 57 year heritage and deep industry expertise, our clients trust us to address the full breadth of their business needs. We provide strategy, design, operations, and more-powered by the fast evolving world of cloud, data, AI, connectivity, software, digital engineering, and platforms. Your Career Joining Capgemini is not just about starting a new job, it is about becoming part of something bigger. We are a diverse collective of free thinkers, entrepreneurs, and experts who work together to unleash human energy, imagination, and ingenuity through technology, to build an inclusive and sustainable future. People are at the heart of everything we do. You will have the opportunity to shape your career, grow through innovative and meaningful projects, and continuously develop your skills through our extensive Learning & Development programs. Our inclusive, flexible, and supportive work environment enables you to perform at your best while maintaining a healthy work life balance. Get the future you want with Capgemini. Diversity & Inclusion At Capgemini, we don't just believe in inclusion we actively work to make it a reality. Driven by our core values and the Inclusive Futures for All campaign, we create environments where you can bring your whole self to work. We embed hybrid working and flexible arrangements into how we operate, supporting a positive work life balance for all employees. Employee wellbeing is a priority, as a healthy and engaged workforce is essential to achieving our shared ambitions.

• Lead the end-to-end AI/ML lifecycle • Define and drive the AI architecture that supports complex product requirements • Design and oversee the creation of high-fidelity AI prototypes • Set the standard for model tuning and evaluation frameworks • Partner with core engineering teams to build infrastructure and CI/CD pipelines (MLOps) • Conduct deep research into emerging AI technologies • Mentor senior and mid-level engineers