Full-Stack AI Engineer

About the Role

The role entails collaborating with cross-functional teams to identify business problems and developing AI-powered solutions that address these challenges. You will work on building and deploying ML models, designing and implementing front-end interfaces, and ensuring the smooth integration of AI features into production systems.

As part of the Pavago team, you will have the opportunity to work on a wide range of projects, from natural language processing to computer vision, and develop expertise in the latest AI and ML technologies.

What You Will Do

• Design, build, and deploy AI-powered applications that integrate machine learning models with production systems
• Deploy pre-trained and fine-tuned ML/LLM models using OpenAI, Hugging Face, TensorFlow, and PyTorch
• Wrap models in APIs using FastAPI, Flask, or Node.js for scalable inference
• Implement vector search integrations using Pinecone, Weaviate, or FAISS for retrieval-augmented generation
• Build ETL pipelines for ingesting, cleaning, and transforming text, image, or structured data
• Automate data labeling, preprocessing, and versioning using Airflow, Prefect, or Dagster
• Store and manage datasets in cloud warehouses such as Snowflake, BigQuery, or Redshift
• Build front-end UIs using React, Next.js, or Vue to surface AI-powered features
• Design back-end services and microservices to connect models to business logic
• Ensure responsive, intuitive, and secure interfaces for end users
• Containerize ML services with Docker and deploy to Kubernetes clusters
• Automate CI/CD pipelines for model updates and application releases
• Monitor latency, cost, and model drift using MLflow, Weights & Biases, or custom dashboards

What We Are Looking For

• Strong foundation in software engineering and applied machine learning
• 3+ years of experience in software engineering with exposure to AI/ML
• Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js)
• Experience deploying ML models into production systems
• Strong SQL and experience with cloud data warehouses
• Excellent problem-solving skills and attention to detail
• Ability to work collaboratively in a remote team environment
• Strong communication and documentation skills
• Experience with agile development methodologies and version control systems

Nice to Have

• Experience with LLM fine-tuning, embeddings, and RAG pipelines
• Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker)
• Familiarity with microservices, serverless architectures, and cost-optimized inference
• Experience with building and scaling AI-powered SaaS products
• Certification in AI, ML, or a related field

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work on cutting-edge AI and ML projects
• Collaborative and dynamic remote work environment
• Flexible working hours and remote work stipend
• Access to the latest AI and ML tools and technologies
• Professional development and training opportunities
• Recognition and rewards for outstanding performance
• Comprehensive health insurance and wellness programs
• Generous paid time off and holiday policy

• Develop a strong portfolio that showcases your experience with AI and ML projects, including deployment and scaling.
• Focus on building a strong foundation in Python, JavaScript, and cloud data warehouses, as these are essential skills for the role.
• Be prepared to discuss your experience with ML models, including deployment and integration with production systems.
• Highlight your ability to work collaboratively in a remote team environment and your excellent problem-solving skills.
• Research the company and the role thoroughly, and be prepared to ask informed questions during the interview process.
• Be prepared to discuss your experience with agile development methodologies and version control systems.
• Consider obtaining certification in AI, ML, or a related field to demonstrate your expertise and commitment to the field.