Full Stack AI developer

Hiring Remotely in USA Entry level Remote Hiring Remotely in USA Entry level 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. The summary above was generated by AI, 1. End-to-End Development

• Build scalable, production-ready features across the stack
• Own delivery from UI * backend * deployment

1. Product Collaboration * Work closely with Product Owners and SMEs * Contribute to improving usability, performance, and business outcomes

2. Full Stack Development * Frontend: React, Next.js * Backend: Node.js, NestJS * Database: PostgreSQL * Cloud: AWS

3. AI-Powered Systems * Build AI-driven features that deliver real value * Design AI workflows using LLMs and automation tools

4. AI Development & Optimization * Implement AI skills and workflows * Work with tools like Claude, OpenRouter, LangChain, n8n * Optimize latency, cost, and performance * Integrate multiple AI models where needed

5. AI-Enabled Engineering * Use AI tools to accelerate development * Define best practices for AI-assisted coding

6. Scalable Architecture * Design flexible, scalable systems * Balance speed with long-term maintainability

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., Core Engineering

• Strong experience with:
• React, Next.js
• Node.js, NestJS
• PostgreSQL
• Experience with APIs, microservices, distributed systems
• Strong understanding of AWS or cloud infrastructure

AI / ML Expertise

• Hands-on experience with LLMs
• Experience with:
• Prompt engineering
• Model selection & evaluation
• Performance & cost optimization
• Familiarity with:
• Claude, OpenRouter, LangChain
• Multi-model orchestration
• Experience building AI systems in production

Product Mindset

• Strong focus on usability and product quality
• Ability to convert ideas into working solutions
• Experience collaborating with product teams

AI-Enabled Development

• Experience using AI tools in development workflows
• Understanding of where AI adds value

Nice to Have:

• 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)