Responsibilities
🤓 As an AI Engineer, the company expects you to perform the following tasks:
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
- AI Backend Engineer External 1
- 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
Requirements
✨You are the person they are looking for if you 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
💜They will be more enthusiastic about you if you also 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
- 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