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Full Stack Engineer
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**Full Stack Engineer (Backend focus)**:
**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 Full Stack Engineer with a strong backend focus to join our dynamic team. As a key member of our product engineering team, you will play a crucial role in developing and scaling Proxy, our generalist agent, ensuring robust performance and a seamless user experience.
**Responsibilities**:
- Design, develop, and maintain scalable asynchronous backend systems using Python and FastAPI
- Collaborate with frontend developers to integrate important features with server-side logic
- Implement security and data protection measures
- Contribute to the full software development lifecycle, from system design to deployment
- Work closely with AI researchers to integrate and improve LLM models
**Requirements**:
- 2+ years of experience as a Full Stack Developer with a strong backend focus
- Proficiency in Python and FastAPI
- Familiarity with React and TypeScript (frontend experience is a plus)
- Experience building and maintaining production systems with a large user base
- Solid understanding of cloud technologies, particularly with GCP and Azure
- Experience working effectively in medium-sized engineering teams
- A passion for AI and LLMs
- Strong problem-solving skills and an attention to detail
**Bonus Qualifications**:
- Experience with LLM development and integration
- Contributions to open-source projects
- Knowledge of DevOps practices and tools
- Experience with distributed systems and microservices architecture
**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
