Full-Stack AI Engineer

About the Role: Our client is seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered applications. This role requires bridging software engineering with applied machine learning, ensuring that models are integrated into production systems that are scalable, reliable, and user-friendly. You will combine back-end services, front-end interfaces, and machine learning pipelines to deliver practical, business-driven AI solutions.

What You'll Do

• Deploy pre-trained and fine-tuned ML/LLM models and wrap them in APIs (FastAPI, Flask, Node.js) for scalable inference.
• Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG) pipelines.
• Build front-end UIs in React, Next.js, or Vue to surface AI-powered features like chatbots and analytics dashboards.
• Containerize ML services with Docker, deploy to Kubernetes clusters, and automate CI/CD pipelines.
• Build ETL pipelines and manage datasets in cloud warehouses (Snowflake, BigQuery, Redshift).

What You Bring

• 3+ years in software engineering with exposure to AI/ML and production systems.
• Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js).
• Experience deploying ML models into production and strong SQL skills with cloud data warehouses.
• An analytical problem-solving mindset that balances performance, cost, and usability.
• Bonus: Experience with LLM fine-tuning, embeddings, and MLOps practices (Kubeflow, MLflow, Vertex AI).

Benefits

• Opportunity to build and scale impactful AI-powered SaaS products.
• Remote work aligned with U.S. client business hours, offering flexibility for model deployments and sprint schedules.
• Fully remote work flexibility within Pakistan.