Senior AI Engineer

Textlayer; Canada; Remote; USD 120,000 - 130,000; Full time

Job summary

Textlayer is seeking a Senior AI Engineer to join their team in Canada. The role involves designing and maintaining Python-based services for AI applications, where you will work on both frontend and backend architectures. Ideal candidates will have deep expertise in full-stack development, experience in building scalable systems, and a passion for AI technologies.

Qualifications

• 3+ years as a full-stack engineer.
• Strong knowledge of Flask APIs.
• Experience with LLM orchestration frameworks.

Responsibilities

• Architect Python services for AI use cases.
• Build and scale secure API endpoints.
• Collaborate with teams to ensure reliability.

Skills

full-stack development

Python

Flask

API design

LLM orchestration

vector databases

CI/CD tooling

Docker

GitHub

Job description

Join to apply for the Senior AI Engineer role at Textlayer

Join to apply for the Senior AI Engineer role at Textlayer

About TextLayer

TextLayer helps enterprises and funded startups build, deploy, and scale advanced AI systems, without rewriting their infrastructure.

About TextLayer

TextLayer helps enterprises and funded startups build, deploy, and scale advanced AI systems, without rewriting their infrastructure.

We provide engineering teams with a modular, stable foundation, so they can adopt AI without betting on the wrong tech. Our flagship stack, TextLayer Core, is maintainable, tailored to the environment, and deployed with Terraform and standardized APIs.

We’re a team on a mission to help power enterprise clients with AI-enabled tools and processes. We’re looking for sharp, curious people who want to meaningfully shape how we build, operate, and deliver.

If you're excited to work on foundational AI infrastructure, ship production-grade systems quickly, and help define what agentic software looks like in practice, we’d love to meet you.

The Role

• The Fullstack Engineer plays a critical role in our team. Working on both the frontend and backend architecture and orchestration layer for our AI systems, including retrieval-augmented generation systems, agentic systems, and tool integrations.
  
  

Key Responsibilities

• Architect and maintain Python-based services using Flask for internal and customer-facing AI use cases
• Build and scale secure, well-structured API endpoints that interface with LLMs, vector stores, and agentic tools
• Implement orchestration logic and tool chaining for advanced agent workflows
• Design systems for RAG pipelines, including data loaders, chunking, and OpenSearch integration
• Optimize service performance and latency across AI infrastructure layers
• Collaborate with frontend, AI, and devops teams to ensure system-wide reliability and observability
• Set up robust test coverage and CI pipelines for backend services
• Contribute to our modular architecture for tool-based reasoning agents
• Stay current with emerging trends in AI engineering, LLM integrations, and scalable backend systems
  
  

What You Will Bring

• To succeed in this role, you’ll need deep full-stack development expertise, a strong understanding of modern AI architecture patterns, and a bias toward building modular, maintainable systems.
  
  

Required Qualifications

• 3+ years of experience as a full-stack engineer, building scalable backend systems in Python
• Strong knowledge of Flask for building and scaling product grade APIs
• Experience with LLM orchestration frameworks (e.g., LiteLLM) and integrating OpenAI or similar
• Familiarity with vector databases, embeddings, and RAG patterns
• Experience building and maintaining infrastructure that integrates with frontends, CLIs, and external APIs
• Comfortable with GitHub, Docker, and CI/CD tooling (e.g., GitHub Actions)
• Proficiency in writing robust, tested, and well-documented backend code
  
  

Bonus Points

• Familiarity with AWS/GCP/Azure
• Experience with Langfuse or similar observability/tracing tools
• Knowledge of AI Agents and Retrieval Augmented Generation(RAG)
• CI/CD familiarity (Github Actions, GitLab, CircleCI, etc)
• Have built your own agentic end-to-end system
• Have worked with Python and built scalable backend systems
  
  

Note: This is a contract-based position with a fixed-term agreement

The Pay Range For This Role Is

120,000 - 130,000 USD per year(Remote)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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