Senior AI Engineer (Python)

Posted 2 Days Ago
Be an Early Applicant
5 Locations
Remote
Entry level
Software • Design • App development
Accelerate Your Digital Transformation
The Role
Build, deploy, and productionize Model Context Protocol solutions connecting enterprise data sources such as Snowflake and SharePoint. Integrate databases, APIs, and files for AI Copilot workflows; refactor proof-of-concept code into secure production infrastructure; engineer prompts; debug and evaluate agent performance; and collaborate with data engineering and platform teams. The role requires strong Python skills, MCP and AI development experience, AWS knowledge, data integration expertise, autonomy, and advanced English.
Summary Generated by Built In
🌍 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.

Apply now!

Skills Required

  • Strong hands-on proficiency in Python and solid coding fundamentals
  • Proven experience building AI-driven solutions and working with Model Context Protocols
  • Familiarity with the FAST MCP framework
  • Solid experience in prompt engineering
  • Familiarity with AI assistant coding tools such as Claude Code
  • Good general knowledge of AWS
  • Experience integrating structured and unstructured data sources, including databases, APIs, SQL/ORMs, SharePoint, and files
  • Advanced or bilingual English proficiency at C1 level or above
  • High autonomy and ability to independently drive technical tasks to completion
  • Excellent communication skills
  • Familiarity with Infrastructure as Code tools, particularly Terraform
  • Familiarity with Agent Core or similar agent-side development frameworks
  • Experience in financial services, hedge funds, or investment sectors
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The Company
HQ: New York, NY
223 Employees
Year Founded: 2017

What We Do

Accelerate your digital transformation with our expert nearshore engineering teams. From experienced Software Engineers to augment your tech team, to fully managed expert Development Squads. We design, engineer, and deliver customized technology solutions for companies of every size. We can assemble your enterprise-level dev squad within 7 days. Scale fast with our on-demand timezone-aligned software development talent. Contact us: [email protected]

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