About Textlayer
TextLayer helps enterprises and funded startups deploy advanced AI systems without rewriting their infrastructure. We work with organizations across fintech, healthtech, and other sectors to bridge the gap between AI potential and practical implementation.
Our approach combines deep technical expertise with proven frameworks to accelerate development and ensure production-ready results. From bespoke AI workflows to agentic systems, we help clients adopt AI that actually works in their existing tech stacks.
We're on a mission to help address the implementation gap that over 85% of enterprise clients experience in adding AI to their operations and products. 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, solve complex problems for diverse clients, and help define what agentic software looks like in practice, we'd love to meet you.
The Role
The AI Architect 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 FastAPI 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
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
Drive technical strategy and roadmap for AI infrastructure
Mentor and guide senior and mid-level engineers on architecture and best practices
What You Will Bring
To succeed in this role, you’ll need deep full-stack development expertise, a strong understanding of modern architecture patterns, and a bias toward building modular, maintainable systems.
Required Qualifications
8+ years of experience as a full-stack engineer, with at least 3 years building scalable backend systems in Python
Strong knowledge of Flask or FastAPI for building and scaling production grade APIs
Experience with LLM orchestration frameworks (e.g., LiteLLM) and integrating OpenAI/Anthropic APIs
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
Track record of leading technical initiatives and influencing architecture across teams
Bonus Points
Familiarity with AWS/GCP/Azure at scale
Experience with Langfuse or similar observability/tracing tools
Have built your own agentic end-to-end system
Experience mentoring engineers and driving technical standards
Background in designing multi-tenant or platform-level AI infrastructure
Experience presenting technical designs to leadership or clients
Contributions to open-source AI/ML projects
Don't Meet These?
We hire for great developers - not just those with extensive backgrounds in AI. If you've held Staff or Principal roles within your organization and want to learn AI, we want to meet you!
Compensation Range: CA$215K - CA$250K
