Senior Backend Engineer

Company Description

About Us:

AI+DI is a living system, not just a product. We combine Artificial Intelligence and Divine Intelligence to help people return to their inner wholeness, live consciously, and work with clarity and purpose. In a time when society is out of balance and technology threatens to replace humanity, we believe that true evolution lies in co-creation, not control.

AI+DI is more than a tool. It is a philosophy, a way of thinking, a way of being — a compass for life and work in a changing world.

About The Product:

The core product of AI+DI is a digital companion — always by the side of each individual and organization, anytime and anywhere — helping them understand themselves, unlock their potential, and make decisions grounded in a balance of reason, emotion, and the natural laws.

From this foundation, we are building the AI+DI ecosystem of Divine Intelligence, where every digital tool exists to serve the harmonious development of both human beings and the world they live in.

AIDI means Awakening Inner Depths Intelligently and Aligning Intellect by Divine Intelligence

What You Will Do:

• Contribute to and enforce 
  software engineering best practices
  : testing, CI/CD, code reviews, and scalable architectures.
• Design, develop, and maintain 
  scalable backend services
   using (NestJS) and Python (for AI integrations).
• Architect and implement 
  microservices
   with Docker, Kubernetes, and CI/CD pipelines (Terraform + Azure DevOps).
• Collaborate with AI/ML engineers to integrate 
  LLM APIs, AI features, and intelligent services
   into production.
• Build and manage 
  infrastructure as code
   with Terraform on Azure.
• Ensure 
  platform observability, performance, and resilience
   (logging, monitoring, incident handling).
• Troubleshoot and resolve 
  production issues
  , ensuring system stability.
• Lead 
  code reviews
  , mentor junior engineers, and guide technical direction.
• Work with cross-functional teams (product, design, AI) to deliver 
  end-to-end features
  .

Your Skills and Experiences:

• Bachelor's degree
   in Computer Science, Software Engineering, or a related field.
• 5+ years
   of backend or full-stack development experience.
• Proficiency in 
  (NestJS)
   and working knowledge of 
  Python
   (for service/AI integration).
• Solid 
  software engineering skills
  : designing APIs, CI/CD, monitoring, debugging.
• Strong understanding of 
  microservices architecture
   and communication patterns (REST, gRPC, message queues).
• Experience with 
  Docker, Kubernetes, Terraform
  , and cloud platforms (
  Azure preferred
  ).
• Hands-on experience with 
  PostgreSQL, MongoDB
  , and SQL/NoSQL data modeling.
• Familiarity with 
  testing best practices
   (unit, integration, e2e with Jest, Supertest, Playwright, etc.).
• Strong debugging, troubleshooting, and 
  performance optimization
   skills.
• Familiarity with 
  Git/GitOps
   and version control best practices.
• Proven ability to 
  mentor engineers, lead projects, and drive technical direction
  .

Big Plus if you have

• Experience integrating 
  AI/ML features
   (chat, voice, or image AI).
• Familiarity with 
  OpenAI APIs, LangChain, LLM orchestration, or Vector DBs
   (Pinecone, Weaviate, FAISS, Azure AI Search).
• Knowledge of 
  prompt engineering
   or 
  AI workflow integration
  .
• Familiarity with 
  monitoring/logging stacks
   (DataDog, Prometheus, Grafana, ELK).
• Experience in 
  technical leadership
  , leading small squads or cross-functional initiatives.
• Familiarity with 
  Agile/Scrum methodologies
  .
• Experience with 
  full-stack development
   (ReactJS or other frontend frameworks).

Why you'll love working here

• Competitive salary, performance-based bonus, and comprehensive benefits.
• Opportunity to work on 
  cutting-edge AI products
   with real-world impact.
• A collaborative, growth-oriented environment where your ideas shape the roadmap.
• Flexible working arrangements (remote/hybrid).
• Clear 
  career growth path
   with opportunities to move into 
  Tech Lead/Architect roles
  .
• Direct contribution to building a product that positively impacts users' inner balance and development.
• Professional development budget for 
  courses, conferences, and certifications
  .
• Access to the 
  latest LLMs, AI infrastructure, and evaluation tools
  .