Full Stack Developer - AI & Backend Engineer

Description:

• We are looking for an experienced and results-driven AI and Backend Engineer to join our team.
• The ideal candidate is a smart, adaptable, and proactive professional with at least 7+ years of industry experience.
• You will be responsible for developing and deploying advanced AI solutions while ensuring robust backend architecture, clean code, and seamless integration across systems.
• Design, train, and deploy AI models for various applications, including NLP, image processing, recommendation systems, and predictive analytics.
• Architect and implement scalable, secure, and efficient backend solutions using modern programming languages such as Python, Go, or Node.js.
• Develop data pipelines for AI models, ensuring efficient data processing, storage, and retrieval.
• Build and maintain RESTful and GraphQL APIs to integrate AI solutions with frontend applications.
• Deploy and manage AI services on cloud platforms such as AWS, Azure, or GCP.
• Implement CI/CD pipelines for AI model training, testing, and deployment.
• Ensure data security, privacy, and compliance with industry standards such as GDPR and HIPAA.

Requirements:

• Education: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field (preferably from a reputable institute).
• Experience: 7+ years of experience as a software developer with a strong backend focus and exposure to frontend technologies.
• Programming Expertise: Proficiency in Python and TypeScript, with experience in frameworks like Django, Flask, FastAPI, or Express.js.
• Machine Learning & AI: Strong understanding of deep learning, reinforcement learning, and traditional ML algorithms.
• Full-Stack Flexibility: Comfortable working across the stack with a backend-first mindset; able to pick up new tools and languages quickly.
• Cloud Computing: Experience deploying AI models and backend services on AWS, GCP, or Azure.
• Database Management: Proficiency in SQL and NoSQL databases (PostgreSQL, MongoDB, Redis).
• DevOps & MLOps: Familiarity with Docker, Kubernetes, and CI/CD pipelines for AI model deployment.
• Big Data Processing: Experience with Spark, Hadoop, or other big data technologies is a plus.
• Proactive & Clean Coding: Ability to write clean, maintainable code and take initiative in learning and adopting emerging technologies, especially Generative AI.
• Problem-Solving Skills: Strong analytical and debugging skills, capable of solving complex issues across backend and AI pipelines.

Benefits:

• Opportunity to work with a dynamic and innovative team.
• Chance to make a significant impact on the growth and success of our company.
• Hybrid working and an excellent office location and environment
• People oriented culture - wellbeing is a priority, as is being a nice person
• Flexible working hours
• Transparent and open culture - you will be listened to and heard