The Role

We’re seeking an innovative and hands-on Backend AI Engineer with experience building scalable backend systems and AI-powered applications. Success in this role includes designing, developing, and optimizing backend services that support machine learning and AI-driven capabilities across our platform. The ideal candidate will collaborate closely with product, engineering, and data teams to integrate AI technologies into enterprise-grade solutions while ensuring performance, reliability, scalability, and security. We’re looking for someone who is passionate about emerging AI technologies, thrives in a fast-paced environment, and enjoys solving complex technical challenges.

Qualifications

Required

Minimum of 3 years of experience in backend software engineering, AI engineering, or machine learning infrastructure development
Strong programming experience in Python, Java, Go, or similar backend development languages
Experience building and maintaining scalable APIs, microservices, and distributed systems
Handson experience integrating AI/ML models into production environments
Familiarity with LLMs, generative AI frameworks, vector databases, prompt engineering, and AI orchestration tools
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform
Strong understanding of databases, data pipelines, and backend architecture best practices
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks
Strong problemsolving, communication, and collaboration skills
Comfortable working autonomously in fastpaced, ambiguous, and crossfunctional environments

Desired

Experience building AIpowered enterprise SaaS platforms or cybersecurityfocused applications
Familiarity with frameworks and tools such as LangChain, OpenAI APIs, Hugging Face, Pinecone, Redis, or similar AI ecosystem technologies
Knowledge of machine learning lifecycle management, model monitoring, and optimization techniques
Understanding of data privacy, AI governance, and secure software development practices
Experience working with eventdriven architectures and realtime processing systems
Ability to collaborate closely with product and UX teams to deliver customercentric AI capabilities
Passion for staying current with rapidly evolving AI technologies and industry trends
Experience contributing to architecture decisions and technical strategy discussions
A degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience

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