About the Role
We are looking for an AI Backend Engineer to build the core systems that power intelligent, data-driven products.
In this role, you will focus on designing and scaling backend architectures that integrate machine learning and AI capabilities as first-class components. Your work will ensure that AI features are reliable, secure, and performant in real production environments.
This position is ideal for engineers who enjoy backend development but want to work deeply with AI-driven systems rather than pure data science.
What You Will Do
- Design and develop backend services that integrate AI and machine learning models.
- Build APIs that expose AI capabilities to web and mobile clients.
- Implement data pipelines for training, inference, and evaluation.
- Ensure scalability, reliability, and security of AI-enabled systems.
- Optimize latency and cost for AI workloads.
- Collaborate with ML engineers, product teams, and frontend developers.
- Participate in architecture decisions and system design.
Technical Environment
You will work with a modern, production-focused stack:
Backend and APIs
- Python or similar backend-focused languages
- RESTful APIs and service-oriented architectures
- Asynchronous processing and background jobs
AI and Machine Learning
- Integration of ML models and inference services
- Experience working with LLMs or predictive models
- Understanding of model lifecycle and deployment
Infrastructure and Data
- Docker and container-based deployments
- Cloud platforms (AWS, GCP, or equivalent)
- SQL and NoSQL databases
- Monitoring, logging, and observability tools
What We’re Looking For
- Strong backend engineering experience.
- Hands-on exposure to AI or machine learning systems in production.
- Solid understanding of system design and scalability.
- Ability to translate product requirements into technical solutions.
- Ownership mindset and attention to detail.
- Strong communication and collaboration skills.
Nice to Have
- Experience with microservices and event-driven architectures.
- Familiarity with MLOps or AI monitoring practices.
- Experience building AI-powered APIs for end-user products.
- Startup or fast-paced product environment experience.
What We Offer
- Ownership of core backend and AI systems.
- Work on products where AI is a fundamental capability.
- A technically strong and collaborative team.
- Competitive compensation and growth opportunities.
- Flexible working hours and remote-friendly culture.
- A product-driven environment with real impact.
Apply
If you want to build backend systems where AI is part of the foundation, not an afterthought, we’d love to hear from you.
Apply and help us scale intelligent platforms.