Founding AI Engineer

About the Company

Manhattan Labs is building an AI-native compliance platform for community banks and financial institutions. We are creating the intelligence layer to modernize financial crime compliance, reimagining KYB and AML as autonomous intelligence.

Responsibilities

• Design, build, and operate RAG and agentic systems over complex financial data
• Develop scalable backend services for document processing, async job queues, and risk scoring
• Own the productionization of AI systems, including evaluation pipelines and safe rollout strategies
• Harden the platform for enterprise with auth controls, audit trails, and monitoring
• Establish CI/CD, deployment pipelines, and incident response practices
• Propose and engage in cutting-edge AI research related to agentic reasoning
• Work directly with the founding team to define architecture and product direction

Requirements

• 1+ years of experience on technical projects
• Strong TypeScript and Python skills
• Hands-on experience shipping LLM integrations or RAG systems into production
• Experience with document processing and structured data extraction
• Solid grasp of API design, relational databases, and async job processing
• Proven track record of scaling products to production
• Strong debugging instincts and ownership mindset

Preferred Qualifications

• Knowledge of KYC/KYB/AML workflows or regulated fintech
• Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks
• Familiarity with banking APIs or financial data providers
• Familiarity with OCR and document intelligence pipelines
• Background in fintech, compliance, or RegTech
• Cloud deployment and DevOps knowledge in security-sensitive environments