Prospera AI - AI Backend Engineer

• ABOUT PROSPERA AI https://myprospera.ai
• We’re building Sophie, a multi-agent AI orchestrator that helps wealth management advisors deliver more personalized, effective service to their clients.
• Our platform analyzes behavioral patterns, communication preferences, and emotional states to transform how advisors understand and serve their clients.
• We’re a small, well-funded team at an exciting inflection point—our technology works, customers love the product, and now we’re building the engineering team to scale.

THE ROLE

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.

WHAT YOU’LL DO

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

WHAT WE’RE LOOKING FOR

MUST HAVE

• 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

GREAT TO HAVE

• 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
• 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

HOW YOU WORK

• 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

We want to be upfront about expectations

• 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)

THE INTERVIEW PROCESS

1. Silver.dev http://Silver.dev Recruiter Screen
2. Silver.dev http://Silver.dev System Design Screen
3. Technical Screen & System Design Interview with Tech Lead + CTO
4. Assessment Deep-Dive with Senior Engineer + CTO
5. Culture Fit Check with CEO