Textlayer
1 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
TextLayer is a company that specializes in integrating cutting-edge AI capabilities into existing enterprise infrastructures without the need for extensive rewrites or replacements. They focus on enabling organizations to ship production-ready AI features swiftly, allowing businesses to stay competitive in a market that increasingly prioritizes AI adoption. TextLayer creates a modular approach that ensures enterprises can evolve with new AI advancements while maintaining ownership and control over their systems and data.
Staff AI Architect
🕒 February 17
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Textlayer
1 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
TextLayer is a company that specializes in integrating cutting-edge AI capabilities into existing enterprise infrastructures without the need for extensive rewrites or replacements. They focus on enabling organizations to ship production-ready AI features swiftly, allowing businesses to stay competitive in a market that increasingly prioritizes AI adoption. TextLayer creates a modular approach that ensures enterprises can evolve with new AI advancements while maintaining ownership and control over their systems and data.
📋 Description
• 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
🎯 Requirements
• 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
🏖️ Benefits
• Project Completion bonuses
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