Key skills
PythonTypeScriptAIMLLLMRAGAgenticChromaPinecone
About this role
Role Overview
- Design and implement LLM-powered systems capable of multi-step reasoning, evidence grounding, and decision support
- Develop agentic workflows combining retrieval, tool use, and structured reasoning
- Create interactive AI experiences for users to engage with compliance data
- Build AI systems that reason over structured and unstructured data
- Ensure AI outputs are traceable, explainable, and auditable
- Architect and deploy scalable LLM + retrieval + agent systems in production environments
- Partner with teams to operationalize AI safely and effectively
- Embed human-in-the-loop workflows and safety guardrails into AI systems
Requirements
- 5+ years of hands-on software engineering experience
- 2+ years specifically in ML/AI engineering
- Proficiency in Python; TypeScript experience is a plus
- Familiarity with vector databases (Pinecone, Chroma, FAISS, etc.) and RAG system design
- Proven experience building and shipping LLM-based applications in production
- Track record of taking AI systems from concept to production
- Ability to decompose complex tasks into agentic workflows
- Experience working cross-functionally with product, compliance, security, and engineering teams
Tech Stack
- Python
- TypeScript
Benefits
- Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents
- Health and wellness benefits and healthcare concierge services
- Comprehensive suite of financial benefits including a 401(k) plan
- Company-paid life and disability insurance
- Paid Parental Leave policy after six months of employment
- Access to fertility and family-building benefits
- Generous annual stipends for professional and personal development
- Flexible vacation policy, paid holidays, and other perks