Nexla is hiring a
Full Stack AI Engineer

Summary

Join Nexla, a fast-growing startup transforming the data industry, as a full-stack AI Engineer to design, develop, and implement AI-powered applications that enhance the capabilities of our platform.

Requirements

• 3+ years in full-stack software development, with a focus on AI and machine learning applications
• Proficiency in React, Next.js, or similar frameworks; solid knowledge of JavaScript/TypeScript
• Strong experience with Python, FastAPI and experience building RESTful APIs and microservices
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience integrating LLM models into production
• Proficiency in SQL and NoSQL databases such as MySQL and Pinecone
• Strong problem-solving abilities and the ability to work in a fast-paced startup environment
• Excellent communication skills and experience in collaborative, cross-functional teams

Responsibilities

• Build and maintain AI-powered features in our platform, integrating machine learning models to solve complex data problems
• Create user-friendly, responsive UIs using modern JavaScript frameworks (React) to enhance the user experience
• Build scalable and efficient server-side applications using Python, FastAPI and manage cloud-based microservices
• Use LLM for solving business needs, optimizing them for real-time use cases and scaling them in production
• Develop and maintain data pipelines for AI applications, ensuring seamless data ingestion and processing
• Utilize AWS or GCP to manage cloud resources, automate deployments, and ensure scalability using Kubernetes and Docker
• Work cross-functionally with product managers, UX/UI designers, and other engineers to align technical solutions with business goals
• Implement best practices for data security and privacy, ensuring compliance with regulations

Preferred Qualifications

• Experience with natural language processing (NLP) models and data, especially relevant to data integration and query processing
• Experience with tools like Terraform and Kubernetes for managing infrastructure as code
• Familiarity with building ETL pipelines and working with large-scale data processing