Design and maintain backend services and AI systems while collaborating with research and product teams in a fast-paced startup environment.
Posted by employer 5 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 5 days ago
AI in the day-to-day
Develop and deploy algorithms and models, integrating them seamlessly into production environments.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Algorithm R&D Engineer at Wonderful focuses on designing and maintaining backend services that support AI systems, while developing and deploying algorithms for production use. Key skills include software design, system integration, and a strong understanding of data flows, with a preference for candidates who have over five years of experience in software engineering. This role is ideal for those with a background in fast-paced startups and a passion for building practical AI solutions. The position emphasizes collaboration with various teams to drive innovation in agentic AI capabilities.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Wonderful's career page.
- Wonderful has 153 other open roles including GTM Public Sector, Forward Deployed Engineer, Conversation Experience Designer.
- 5148 active AI/ML roles on Joblaze right now.
- 121 active Backend roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Algorithm R&D Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Backend.
- What seniority level is this role?
- Wonderful targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Algorithm R&D Engineer role at Wonderful.
From the original posting
What You’ll Do
Design, build, and maintain backend services and infrastructure that power our agent and AI systems.
Develop and deploy algorithms and models, integrating them seamlessly into production environments.
Collaborate closely with the AI research, product, and platform teams to design custom and proprietary solutions for our agents.
Work on end-to-end system architecture - from data pipelines and model serving to inference and optimization.
Contribute to the development of tools and frameworks for deploying, monitoring, and evaluating LLM-powered applications.
Drive innovation by improving agentic AI systems, advancing capabilities such as reasoning, autonomy, and coordination.
Experiment with and apply context engineering techniques to enhance LLM understanding, consistency, and performance in dynamic environments.
Bring research ideas into production reality through rapid prototyping and iteration.
What We’re Looking For
5+ years of experience in software engineering or technical problem-solving roles.
Strong fundamentals in software design, system thinking.
Experience working across systems, integrations, and data flows.
Comfort working directly with customers and owning ambiguous problems.
Clear communication skills and a strong ownership mindset.
Curiosity and interest in building AI-powered systems that work in practice.
Experience working in a fast-growing startup, with the ability to operate in a dynamic, fast-paced environment.