Ambush is a people-first company. We believe that our success is built on the talent and dedication of our team. We take a human-centered approach to everything we do, from recruiting top-tier remote professionals to fostering a collaborative and supportive work environment.
Since 2015, we’ve been growing our consulting business by delivering exceptional quality work to our clients. We’re not afraid to take risks and always strive to find the best solution, not just the easiest one. Our highly skilled team of engineers is committed to using their expertise to tackle every challenge with passion and precision.
Teamwork is at the heart of everything we do. We believe in the power of collaboration, knowledge sharing, and mutual support. At Ambush, you’ll find a dynamic environment where you’re encouraged to grow, learn, and share your expertise with your colleagues. We offer various initiatives to help you enhance your skills and broaden your knowledge base.
If you’re a team player who’s driven to achieve great things and passionate about making a real impact, we want you on our team.
When you join us, you will:
- Design and build sophisticated natural language interaction capabilities for our core platform, ARCH, primarily leveraging Python within Jupyter environments and integrating with the client's Artificial Intelligence (AI) system.
- Act as the subject matter expert and architect for RAG solutions, optimizing them for high performance, accuracy, and latency across all agentic workflows.
- Collaborate closely with Machine Learning Engineers and Software Engineers to operationalize AI/ML models and ensure seamless integration with existing software infrastructure.
- Conduct research and prototype new Generative AI and Multi-Agent Coordination/Planning (MCP) techniques to continuously push the boundaries of our intelligent systems.
- Develop clear metrics and monitoring dashboards to track the performance and business impact of deployed RAG and Agentic solutions.
What we'd like to see in a candidate:
Must-Have's - Expertise in Retrieval-Augmented Generation (RAG).
- Strong English communication skills (C1 or C2): Essential for participating effectively in meetings with stakeholders and contributing to high-level discussions within a global team.
- Deep familiarity with building production-quality code, utilizing the Jupyter ecosystem for rapid experimentation and delivery.
- Practical experience in building AI functions/tools for Large Language Models (LLMs) and understanding the principles of creating specialized agents.