Member of Technical Staff Agents

Il y a 2 mois


Eu, France Convergence Temps plein

**Member of Technical Staff — Agents**

**About Us**:
At Convergence, we're transforming the way AI integrates into our daily lives. Our team is developing the next generation of AI agents that don't just process information but take actions, learn from experience, and collaborate with humans. By introducing Large Meta Learning Models (LMLMs) that integrate memory as a core component, we're enabling AI to improve continuously through user feedback and acquire new skills during real-time use.

We believe in freeing individuals and businesses from mundane, repetitive tasks, allowing them to focus on innovative and creative work that truly matters. Our personalised AI assistants collaborate with users to enhance productivity and creativity. With a recent $12 million pre-seed funding from Balderton Capital, Salesforce Ventures, and Shopify Ventures, we're poised to make a significant impact in the AI space. Join us in shaping the future of human-AI collaboration and be part of our mission to transform the AI landscape.

**The Role**:
We are seeking a talented Agent Engineer to join our dynamic team. As a key member of our engineering team, you will play a crucial role in developing and improving Proxy, our generalist agent. Your goal will be to make Proxy highly capable at solving real-world problems for users, while also building out the right tooling for testing new ideas and measuring performance.

**Responsibilities**:

- Experimenting with different agentic setups, such as web-browsing agents
- Designing and improving the set of actions and tools agents have at their arsenal — like querying the web and checking their work
- Utilising methods such as prompt engineering, tool-use, and image processing
- Contributing to the overall architecture and design, ensuring scalability and performance
- Making it easy to test ideas, analyse trajectories and visualise agent behaviours
- Designing new tasks to push the boundaries of our agents and creating evaluations to measure the progress weʼre making

**Requirements**:

- Experience building things with ML and tinkering with models. Examples might include search engines, recommender systems, RAG systems, agents, computer vision systems, and so on

**Why Join Us?**:

- Be at the cutting edge of AI and LLM technology
- Work on challenging problems that impact users' daily lives
- Collaborative and innovative work environment
- Opportunities for professional growth and learning
- Competitive salary and benefits package


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