Able

Full-stack Engineer

• Architecting Graph ETL and developing robust ETL pipelines for graph ingestion
• Managing high-volume data streams using tools like Kafka
• Writing scripts for deduplication and data consistency checks
• Handling complex temporal relationships within the graph
• Performance tuning to optimize query performance as the graph grows

Senior AI Engineer, Graph

• Unlocking Visual Data: Building pipelines that can "read" complex documents, understanding layout, charts, and visual context using Vision-Language Models (GPT-4V, Claude 3.5) and Layout Analysis.
• Orchestrating Intelligence: Owning the application logic layer. You will use LangChain or LangGraph to build the agents and chains that query our data, reason about it, and generate responses.
• Native PDF Handling: Handling the messy reality of PDF processing (PyMuPDF, layout parsing) to preserve structure before the AI even sees it.
• Prompt Engineering & Logic: Crafting complex prompts and control flows to ensure models interpret financial charts and layouts accurately without hallucinating.
• Cost & Scale: Applying a cost-optimization mindset (batch processing, model selection) to ensure our vision and orchestration layers are economically viable.

Senior AI Engineer – Vision

Backend Engineer

• Design and build end-to-end applications across frontend and backend.
• Define system architecture, APIs, and data models for scalable products.
• Lead technical discovery by understanding systems, constraints, and opportunities.
• Guide engineering decisions and support other engineers through design and code reviews.
• Partner with product and design to shape solutions from idea to implementation.
• Write and review code with a focus on quality, performance, and maintainability.
• Communicate clearly with stakeholders on approach, progress, and risks.
• Drive delivery while helping maintain a high technical bar across the team.

Senior AI Engineer, Graph

Senior AI Engineer – Vision

Senior Software Engineer, Full-Stack, JavaScript