Senior AI Engineer (Python)

Coderio; Brasil; Remote; BRL 180.000 - 320.000; Vollzeit

Benefits dieser Stelle

100% Remote

High Impact

Modern Engineering Culture

Global Networking

Zusammenfassung

Coderio is seeking a Senior AI Backend Engineer to join a strategic initiative for a hedge fund and multi-asset investing business. You will build MCP integrations, Snowflake plug-ins, and robust document-processing pipelines to enable safe searching and interaction with first-party research using AI tools.

The role focuses on backend development with Python, data engineering, and cloud infrastructure (AWS, Terraform).

Qualifikationen

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 5–7 years of professional software engineering experience.
• Strong Python backend development with REST/streaming APIs.
• Hands-on AI/LLM experience: tool calling, RAG, embeddings, and prompt design.

Aufgaben

• MCP Integrations: design, build, and maintain MCP servers and integrations exposing data sources to AI assistants.
• Data Pipelines & RAG: build document processing pipelines for unstructured research data (memos, PDFs, Word, Excel).
• Data Access Layers: develop Snowflake plug-ins and data access layers with entitlements and governance.
• Cloud & Infrastructure: provision/manage AWS-based cloud infra as code (Terraform) and production services.
• Business Collaboration: work with non-technical stakeholders to translate workflows into AI tools.

Jobbeschreibung

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

• 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.

• 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).

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

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

• 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

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

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

• 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).

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

• Cloud & DevOps: Experience with cloud platforms (AWS preferred), containers, Git-based CI/CD, and Infrastructure-as-Code tooling (e.g., Terraform).

• Language: Advanced or bilingual English (C1+). Must be a clear communicator capable of working directly with non-technical business stakeholders.

Nice to Have

• Experience in hedge funds, multi-asset, or asset-management environments (familiarity with portfolio, risk, P&L, and investment models).

• Experience in regulated financial-services environments (focusing on data entitlements, security, and auditability).

• Exposure to enterprise AI platforms (e.g., Microsoft 365 Copilot, Anthropic, or OpenAI APIs) and LLM observability tooling.

• Experience with TypeScript / Node.js.

Benefits

• 100% Remote: Collaborate in a dynamic, fast-paced environment from anywhere.

• High Impact: Long-term contract engagement where you will own your code and drive real solutions for top-tier financial professionals.

• Modern Engineering Culture: Work at the forefront of the generative AI landscape, utilizing the latest frameworks (MCP, RAG, Snowpark).

• Global Networking: Work within a collaborative international team featuring strong technical leadership.

Why Join Coderio?

At Coderio, we value talent and excellence. We are a remote-first company passionate about technology, collaboration, and fair compensation. We offer an inclusive, challenging environment with real growth opportunities. If you are a problem-solver who thrives in a fast-changing AI landscape and is motivated to design solutions that make a difference, we are waiting for you.