Machine Learning/ AI Engineer - Agentic Systems
Welcome to the video first world. From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read - both at home and at work. If you're reading this and nodding, check out our brand video.
Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale-until now
Meet Synthesia. We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. We enable large organizations to communicate and share knowledge through video quickly and efficiently. We're trusted by leading brands and have a growing community of users.
What you'll do at Synthesia- Design, build, and deploy production-grade AI agents using frameworks such as OpenAI Agents SDK
- Own architectural components within the Copilot project, ensuring modular, scalable, and maintainable designs
- Implement new features quickly to improve user experience and unblock the team as we iterate
- Collaborate closely with researchers and engineers to integrate LLMs into complex, multi-agent systems
- Write clean, efficient, and tested code following best engineering practices
- Optimize and maintain agent pipelines from prototype to production
- Spread good practices around scalable agentic system design and AI software engineering
- You have a background in Computer Science, Software Engineering, or a related field.
- You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development.
- You are an engineer at heart, you enjoy building working systems more than writing research papers.
- You have strong Python skills and experience in building and maintaining production systems.
- You have hands-on experience with agentic frameworks such as OpenAI Agents SDK, LangChain, CrewAI, or LangGraph.
- You've built and deployed real time multi-agent applications that are deployed to and tested by real users.
- You communicate clearly and work well in small, fast-paced teams.
- Experience using or fine-tuning LLMs (directly or via APIs).
- Comfort with cloud environments (AWS, GCP) and Docker.
- You'll work closely with the Copilot Team, a cross-functional group of engineers and researchers.
- You'll own key architectural aspects of the system while collaborating daily on design, implementation, and deployment.
- Success means empowering others with your engineering expertise and improving how the whole team builds and scales agents.
We're building the future of AI-driven learning. Our instructional design agents are transforming how educational content is created-from course outlines and writing to visuals, interactivity, and immersive roleplay scenarios. You'll work alongside world-class engineers and researchers to make high-quality education creation accessible to everyone.
CompanySynthesia
Language requirements Specific requirements Educational level Level of experience (years)Senior (5+ years of experience)
Tagged as: Industry, Machine Learning, NLP, United Kingdom
- Company
- NLP PEOPLE
- Location
- England, United Kingdom
- Employment Type
- Permanent
- Salary
- GBP Annual
- Posted
- Company
- NLP PEOPLE
- Location
- England, United Kingdom
- Employment Type
- Permanent
- Salary
- GBP Annual
- Posted