Senior AI Engineer (Python)

About the role

🌍 About Us

Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence. 🔗 More information: http://coderio.com

💻 About the Project

We are looking for a hands-on Senior AI Backend Engineer to join a strategic initiative for a leading hedge fund and multi-asset investing business. As the volume and complexity of their financial data grow, this role is critical to building the underlying "plumbing" that connects AI models to enterprise data and documents.

Sitting within the AI Backend workstream, you will build Model Context Protocol (MCP) integrations, Snowflake plug-ins, and robust document-processing pipelines. Your work will enable investment and operations teams to safely search, summarize, and interact with first-party research through cutting-edge AI tools.

Responsibilities

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MCP Integrations: Design, build, and maintain Model Context Protocol (MCP) servers and integrations that expose critical data sources and internal applications to AI assistants and agents.

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Data Pipelines & RAG: Build sophisticated document-processing pipelines for unstructured first-party research (memos, Excel models, call notes, PDFs, Word). This includes parsing, chunking, metadata/entity tagging, embeddings, and Retrieval-Augmented Generation (RAG).

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Data Access Layers: Develop Snowflake plug-ins and data access layers (using SQL, Snowpark, or Cortex) ensuring proper data entitlements, security, and governance.

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Cloud & Infrastructure: Provision and manage cloud infrastructure as code (Terraform on AWS) and ship production-grade services (APIs, CI/CD, monitoring, logging).

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Business Collaboration: Partner directly with non-technical investment, risk, and operations users to turn complex workflows into reliable AI tools, continuously evaluating output quality.

Requirements

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Education & Experience: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, with 5 to 7 years of professional software engineering experience.

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Backend & Python: Strong proficiency in Python, with proven experience building robust backend services and REST/streaming APIs.

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AI & LLM Applied Experience: Hands-on experience with LLM application development, including tool/function calling, RAG architectures, embeddings, vector search, and prompt/evaluation design (Experience with MCP is strongly preferred).

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Data Engineering: Solid SQL and data-engineering skills. Experience extracting structured data from unstructured documents (PDF, Word, Excel). Snowflake experience is strongly preferred.