Research Engineer: Agentic AI & Universal Assistant

Google Inc.; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google DeepMind is seeking a Share Research Engineer to advance our Astra project in London. This role blends research with engineering to build scalable agentic AI systems and evaluate new capabilities within a full-stack prototype.

You will work with cross-disciplinary teams, contribute to large-scale experiments, and help accelerate high-impact product ideas while publishing insights with the broader research community.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience.
• 2 years of experience conducting research or engineering systems.
• 2 years of experience building in Python.
• 2 years of experience with agentic AI workflows, frameworks, and approaches.

Responsibilities

• Contribute to building a full-stack Universal Assistant prototype across key workstreams, including agent infrastructure, multi-agent systems, and full-stack integration.
• Guide model inference, optimization, fine-tuning, and evaluation to improve system capabilities and reliability.
• Support data workflows through synthetic data generation and prompt optimizations.
• Collaborate with partner teams across DeepMind, including the Gemini and Gemini App teams, to integrate and evaluate new agentic capabilities.

Skills

Python

Research experience

Engineering systems

Agentic AI frameworks

Education

Bachelor's degree in Computer Science, Machine Learning, or related field

Job description

Google DeepMind is seeking a Share Research Engineer to advance our Astra project in London. This role blends research with engineering to build scalable agentic AI systems and evaluate new capabilities within a full-stack prototype.

You will work with cross-disciplinary teams, contribute to large-scale experiments, and help accelerate high-impact product ideas while publishing insights with the broader research community.