This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
We’re seeking a talented AI Backend Developer to design, implement, and maintain scalable backend systems for AI-driven applications.
You’ll work with cutting-edge technologies to optimize performance and support complex machine learning models in production.
If you thrive in fast-paced environments and enjoy solving challenging technical problems, we’d love to hear from you!
Key responsibilities include designing, developing, and maintaining backend systems for AI-powered applications.
You will build and optimize APIs for real-time and batch processing of data.
The role involves integrating machine learning models into scalable backend architectures.
You will ensure system performance, scalability, and reliability in production.
Collaboration with cross-functional teams, including AI researchers, frontend developers, and product managers, is essential.
You will implement robust monitoring, logging, and error-handling systems.
Continuously evaluating and improving existing backend systems and workflows is also part of the job.
Requirements:
Proven experience as a Backend Developer, preferably in AI or data-heavy environments.
Proficiency in Python and frameworks such as FastAPI, Django, or Flask is required.
Strong experience with Node.js, Go, or similar backend technologies is necessary.
Knowledge of containerization and orchestration tools like Docker and Kubernetes is essential.
Hands-on experience with cloud platforms (AWS, GCP, or Azure) is required.
Expertise in database systems: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) is necessary.
Familiarity with machine learning pipelines and tools like TensorFlow, PyTorch, or Scikit-learn is important.
Strong problem-solving skills with a detail-oriented approach are essential.
Excellent communication and collaboration abilities are required.
Self-motivated and able to manage time effectively in a remote setting is necessary.
Experience with MLOps practices and tools is a nice to have.
Knowledge of big data processing frameworks like Apache Spark or Kafka is a plus.
A background in developing secure and compliant systems (e.g., HIPAA, GDPR) is beneficial.
Benefits:
Competitive compensation in USD is offered.
The position allows for 100% remote work, providing flexibility to work from anywhere.
There is an opportunity to work on cutting-edge AI technologies and make a significant impact.
The company promotes a collaborative and inclusive team culture.