Feltsense AI Engineer

Silver.dev is currently seeking a highly skilled AI Engineer to join their remote team. This is a unique opportunity to contribute to a venture-backed organisation that has secured $5.1 million in funding. The company’s vision is ambitious: they are building agents capable of operating as fully autonomous founders. Backed by prominent industry figures and venture capital firms like Draper and Precursor, Silver.dev is positioned at the cutting edge of the autonomous agent landscape.

About the role

This role requires a blend of high-level architectural decision-making and pragmatic, hands-on software engineering. As a key member of the technical team, you will be responsible for defining the direction of their platform, ensuring that the infrastructure is robust enough to handle complex, multi-agent workflows.

You will not just be managing systems; you will be shipping production-grade code. The environment is fast-paced, typical of an early-stage startup, and you will be expected to help set the engineering culture, including defining processes for testing, code reviews, and observability. If you enjoy solving deeply technical problems and want to work on a product that aims to redefine how businesses are built, this position offers significant influence over the company’s roadmap.

Your daily contributions will focus on creating intelligent orchestration systems and maintaining reliable backend services. You will be expected to:

• Design and implement multi-agent architectures that facilitate the transition of products from initial concepts to live deployments.
• Develop feedback loops and memory systems that allow agents to learn and improve over time.
• Build and maintain the backend infrastructure that integrates seamlessly with major LLM providers such as OpenAI, Anthropic, and Gemini.
• Take ownership of agent runtimes, ensuring performance and stability under production loads.
• Refine agent behaviour through advanced prompt engineering, structured output design, and robust fallback mechanisms.
• Collaborate with the wider team to translate complex technical milestones into a manageable development pipeline.

What they're looking for

Silver.dev is looking for an engineer who is comfortable in an environment that heavily utilises AI-assisted development. Requirements include:

• At least 4 years of professional experience in software engineering, with a proven track record of technical leadership in an early-stage company or startup setting.
• Demonstrable experience in building and deploying multi-agent systems and orchestration frameworks.
• Strong backend engineering expertise, particularly in designing scalable APIs and complex data flows.
• Deep familiarity with the LLM ecosystem, including model configuration, vector databases, retrieval systems, and evaluation metrics.
• Practical experience using AI-powered coding tools (such as Cursor or Claude Code) to delegate tasks, review generated code, and audit outputs.

For a South African software engineer, this role represents a high-ceiling career opportunity in the global AI sector. Remote roles for US-backed startups often offer competitive dollar-pegged compensation, which is significantly higher than local market averages for senior backend or AI-focused engineers. Candidates applying for these roles should be prepared to navigate asynchronous communication and demonstrate a high degree of autonomy. Successful candidates in this niche typically progress into roles such as Head of Engineering or CTO as the venture grows.

• 4+ years of professional software engineering experience.
• Previous technical leadership experience at an early-stage company (Founding Engineer, Tech Lead, Head of Engineering, or similar).
• Hands-on experience building and shipping multi-agent systems and orchestration frameworks to production.
• Experience developing self-improving or self-evolving agent harnesses.
• Strong backend engineering skills, including designing and maintaining APIs, services, and data flows.
• Experience working with LLM-based systems, including prompt engineering, model configuration, structured outputs, embeddings, retrieval, and evaluation.
• Daily hands-on experience with AI coding agents such as Claude Code, Cursor, OpenAI Codex, or similar tools. You should know how to delegate work to agents, review their output, and verify what they build.