Logik.io is hiring AI Engineers. We are a startup run by successful entrepreneurs that have built and sold technology companies to both Oracle and Salesforce. Logik.io is at the forefront of technology innovation, and we're looking for a passionate AI Engineer to join our team. You will be a key player in designing, developing, and deploying cutting-edge machine learning and generative AI models that drive our products. This role offers an exciting opportunity to work on complex data challenges and help shape the future of AI at Logik.io .
This is an exceptional opportunity for someone who has just completed their degree and is eager to apply their academic knowledge to real-world problems. As an AI Engineer at Logik.io, you will work alongside experienced engineers and data scientists, providing a collaborative environment where you can grow, learn, and contribute to high-impact AI projects. You’ll gain hands-on experience with state-of-the-art tools, technologies, and methodologies, accelerating your career while working on the forefront of innovation in AI and machine learning.
Key Responsibilities:
- Design and develop machine learning models and generative AI models, focusing on large language models (LLMs), neural networks, and decision trees.
- Develop and maintain data pipelines for data ingestion, transformation, and processing, enabling efficient model training and inference.
- Implement and monitor performance metrics, logging, and monitoring systems (Prometheus, Grafana) to ensure high performance and reliability of AI models and REST API endpoints.
- Collaborate with cross-functional teams to design and deploy models using FastAPI for REST API design and orchestration through Kubernetes and Docker.
- Utilize tools such as MLFlow, Vertex AI, Weights & Biases, and Google Cloud Project to manage model experimentation, CI/CD pipelines, continuous training, and deployment.
- Work with data warehousing (BigQuery), data lakes, and ETL frameworks to organize and streamline data operations.
- Engage in model performance tuning, optimization, and troubleshooting to improve accuracy, efficiency, and scalability.
- Follow Agile/Scrum methodologies to ensure smooth delivery of projects, manage timelines, and maintain an organized workflow.
- Bachelor’s degree in Computer Science, Engineering, or a related field is required; Master’s degree preferred.
- Strong proficiency in Python, with experience in scripting (Bash/Shell) and object-oriented programming (OOP).
- Expertise in machine learning frameworks like PyTorch and Scikit-learn, with hands-on experience in building, training, and deploying models.
- Experience with SQL and database management (SQLAlchemy, BigQuery) for data querying and transformation.
- Knowledge of cloud platforms (Google Cloud Project) and containerization/orchestration tools (Docker, Kubernetes).
- Proficiency in building and maintaining data pipelines and ETL processes.
- Experience with CI/CD pipelines and continuous training workflows.
- Familiarity with Generative AI technologies, including Langchain, Langsmith, Hugging Face, and managing LLMs.
- Strong understanding of REST API design and development.
- Familiarity with monitoring and tracking tools such as Prometheus and Grafana for logging and performance tracking.
- Experience working in an Agile environment.
- Advanced knowledge of model inference and optimization techniques.
- Experience with continuous integration and continuous delivery (CI/CD) tools and pipelines.