Build and own production-ready AI-powered features across frontend, backend, infrastructure, and deployment. Collaborate with product teams to turn ideas into scalable solutions, design LLM workflows, orchestrate multiple AI models, and optimize latency, cost, and performance. The role also establishes AI-assisted engineering practices and contributes to usability, product quality, architecture, and business outcomes.
This is a remote position.
Ayrin Digital is looking for a Full Stack Software Engineer who operates like a product builder—not just a feature implementer.
This role is ideal for someone who is comfortable working across frontend, backend, infrastructure, and collaborating on product development, with a strong focus on building AI-powered systems.
You will be expected to bring a strong product mindset and take ideas from concept to production-ready solutions.
This is a high-ownership role where engineering, product thinking, and AI expertise come together.
1. End-to-End Development
- Build scalable, production-ready features across the stack
- Own delivery from UI → backend → deployment
- Work closely with Product Owners and SMEs
- Contribute to improving usability, performance, and business outcomes
- Frontend: React, Next.js
- Backend: Node.js, NestJS
- Database: PostgreSQL
- Cloud: AWS
- Build AI-driven features that deliver real value
- Design AI workflows using LLMs and automation tools
- Implement AI skills and workflows
- Work with tools like Claude, OpenRouter, LangChain, n8n
- Optimize latency, cost, and performance
- Integrate multiple AI models where needed
- Use AI tools to accelerate development
- Define best practices for AI-assisted coding
- Design flexible, scalable systems
- Balance speed with long-term maintainability
Requirements
Required Skills:
Core Engineering
Core Engineering
- Strong experience with:
- React, Next.js
- Node.js, NestJS
- PostgreSQL
- React, Next.js
- Experience with APIs, microservices, distributed systems
- Strong understanding of AWS or cloud infrastructure
- Hands-on experience with LLMs
- Experience with:
- Prompt engineering
- Model selection & evaluation
- Performance & cost optimization
- Prompt engineering
- Familiarity with:
- Claude, OpenRouter, LangChain
- Multi-model orchestration
- Claude, OpenRouter, LangChain
- Experience building AI systems in production
- Strong focus on usability and product quality
- Ability to convert ideas into working solutions
- Experience collaborating with product teams
- Experience using AI tools in development workflows
- Understanding of where AI adds value
- Experience with CrewAI or similar frameworks
- Exposure to Hugging Face / open-source LLMs
- Experience with RAG pipelines and vector databases
- Background in data engineering
- CI/CD, DevOps, observability
- Startup / 0→1 product experience
- Polyglot experience (Python, Java, .NET)
- Delivering high-quality, AI-enabled features end-to-end
- Translating product ideas into shipped solutions
- Building scalable systems
- Driving effective use of AI across engineering
BenefitsWhy Join Us:
This role is at the intersection of engineering and product innovation. You’ll work on building real-world AI-powered products and have a direct impact on business outcomes.
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