About Nexla: Nexla is transforming how enterprises handle data with a cutting-edge no-code platform that simplifies data integration, management, and delivery. Our platform is built for agility and scalability, helping teams create data products and unlock insights faster by leveraging AI. We're looking for a full-stack AI Engineer to join our team and help build and scale our AI-driven solutions.
Role Overview: As a full-stack AI Engineer at Nexla, you will design, develop, and implement AI-powered applications that enhance the capabilities of our platform. You'll work on both front-end interfaces and back-end systems, collaborating with engineers to seamlessly integrate LLM's into production systems. This role requires a blend of AI/ML expertise, full-stack development skills, and cloud infrastructure experience.
Responsibilities:
- AI Application Development: Build and maintain AI-powered features in our platform, integrating machine learning models to solve complex data problems.
- Front-End Development: Create user-friendly, responsive UIs using modern JavaScript frameworks (React) to enhance the user experience.
- Back-End Development: Build scalable and efficient server-side applications using Python, FastAPI and manage cloud-based microservices.
- Model Integration: Use LLM for solving business needs, optimizing them for real-time use cases and scaling them in production.
- Data Pipeline Integration: Develop and maintain data pipelines for AI applications, ensuring seamless data ingestion and processing.
- Cloud Infrastructure: Utilize AWS or GCP to manage cloud resources, automate deployments, and ensure scalability using Kubernetes and Docker.
- Collaboration: Work cross-functionally with product managers, UX/UI designers, and other engineers to align technical solutions with business goals.
- Security & Compliance: Implement best practices for data security and privacy, ensuring compliance with regulations.
Qualifications:
- Experience: 3+ years in full-stack software development, with a focus on AI and machine learning applications.
- Front-End Skills: Proficiency in React, Next.js, or similar frameworks; solid knowledge of JavaScript/TypeScript.
- Back-End Skills: Strong experience with Python, FastAPI and experience building RESTful APIs and microservices.
- Cloud & DevOps: Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
- AI/ML Expertise: Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience integrating LLM models into production.
- Database Knowledge: Proficiency in SQL and NoSQL databases such as MySQL and Pinecone.
- Velocity: Strong problem-solving abilities and the ability to work in a fast-paced startup environment.
- Team Collaboration: Excellent communication skills and experience in collaborative, cross-functional teams.
Preferred Qualifications:
- NLP Experience: Experience with natural language processing (NLP) models and data, especially relevant to data integration and query processing.
- DevOps Expertise: Experience with tools like Terraform and Kubernetes for managing infrastructure as code.
- Data Engineering: Familiarity with building ETL pipelines and working with large-scale data processing.
Why Join Nexla:
- Be part of a fast-growing startup transforming the data industry.
- Work on cutting-edge AI technologies and have a significant impact on the company's direction.
- Competitive compensation and the opportunity for career growth in a collaborative environment.
