Tech Lead Javascript (AI)

TL;DR

Tech Lead Javascript (AI): Leading the development of innovative AI-powered systems and fullstack solutions with an accent on robust architecture, maintainable code, and integration with LLMs. Focus on designing backend services, experimenting with GenAI technologies like RAG and vector databases, and ensuring engineering best practices.

Location: Remote (Mexico)

Company

hirify.global is a digital engineering and modernization partner for leading enterprises and digital native companies worldwide, with over 9,000 experts.

What you will do

• Lead the design and development of fullstack systems using Node.js, NestJS, and Langchain.
• Architect backend services and APIs that integrate with LLMs and support agent workflows.
• Collaborate with frontend engineers to ensure seamless integration.
• Experiment with emerging GenAI technologies, including RAG, embeddings, and vector databases.
• Guide engineering best practices through code reviews, documentation, and mentoring.
• Work closely with product and design teams to translate business requirements into intelligent automation features.

Requirements

• Advanced proficiency in Node.js, NestJS, and TypeScript.
• Experience/knowledge of Langchain, including prompt engineering, agent orchestration, and tool integration.
• Strong foundation in software engineering principles, including system design, API architecture, and testing.
• Experience working with JSON configurations and managing structured data flows.
• Must be able to work remotely from Mexico.

Nice to have

• Familiarity with GenAI architectures using Langchain agents, RAG, and LLM APIs (e.g., OpenAI, Anthropic).
• Knowledge of vector databases and embedding models.
• Exposure to cloud platforms (AWS, GCP, Azure) and CI/CD pipelines.
• Experience with remote collaboration tools and asynchronous workflows.
• Experience with frontend development using React.

Culture & Benefits

• Work for a digital engineering and modernization partner with over 9,000 experts globally.
• Access to practices in Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
• Commitment to hiring based solely on skills and qualifications, without discrimination.
• Flexible work from home arrangement.