[Hiring] AI Backend Engineer @Silver.dev

Role Description

We’re looking for an AI/Backend Engineer to own and evolve our LLM orchestration pipeline. You’ll be the first dedicated engineering hire, working directly with our CTO to transform Sophie from a working prototype into a scalable, enterprise-ready platform. This is a high-impact, high-autonomy role. You’ll shape technical decisions that define the product for years to come.

• Own the AI Pipeline
• Design and optimize our multi-agent orchestration system
• Implement parallelization and streaming to dramatically reduce response latency
• Build robust prompt management with versioning and A/B testing capabilities
• Build RAG Systems
• Design retrieval-augmented generation for accurate, contextual responses
• Work with vector databases, embeddings, and relevance scoring
• Optimize for both speed and accuracy at scale
• Develop Production APIs
• Build developer-friendly APIs connecting our AI capabilities to the frontend
• Design for future integrations with CRMs and advisor tools
• Implement proper authentication, rate limiting, and documentation
• Shape the Foundation
• Establish code review practices and testing standards
• Document architecture decisions for future team members
• Contribute to technical patents and IP development

Qualifications

• 4+ years production Python experience (async patterns, type hints)
• Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar)
• Strong understanding of prompt engineering and multi-step LLM workflows
• Production API development experience (FastAPI or similar)
• Strong SQL and PostgreSQL skills

Requirements

• Experience with RAG systems and vector databases (Pinecone, Weaviate, pgvector)
• Streaming/real-time implementation experience (SSE, WebSockets)
• TypeScript/JavaScript familiarity
• FinTech or regulated industry background

How You Work

• Strong UX intuition—you notice when flows have one too many clicks
• Pragmatic perfectionism—you know when to polish and when to ship
• Clear communicator who can explain technical constraints in business terms
• Collaborative mindset—frontend doesn’t exist in isolation
• Self-directed and comfortable with ambiguity
• Strong written communication (async-first culture)
• Pragmatic problem-solver who ships iteratively
• Collaborative mindset with ego-free approach to feedback

What This Role Is Not

• Not a pure ML/research role—you’ll apply LLMs, not train them
• Not a management role—near-term focus is individual contribution
• Not fully autonomous—you’ll collaborate closely with the CTO on architecture
• Not 9-to-5—startup intensity applies, though we respect work-life balance

Compensation & Benefits

• Equity: Meaningful early-stage grant with 4-year vesting
• Equipment: Professional Laptop ready to work with AI provided + stipend for remote work when 6 month mark is met
• Time Off: Flexible PTO with a minimum 15 days encouraged
• Learning: $1,000 annual professional development budget
• Schedule: Flexible hours with 3-4 hours daily overlap (Americas timezones)