AI Engineer

# AI & Backend Engineer ## Company Overview Not specified. ## Job Summary We are building vision-based AI engines that understand mobile apps like humans, replacing brittle locator frameworks with plain English instructions. We're a fast-growing team seeking a hands-on AI & Backend Engineer to build the core intelligence for these fast AI agents. ## Responsibilities - Design scalable **Python backends** (using FastAPI, Flask, or Django) to power AI-driven test execution, integrating **Vision Large Language Models (LLMs)** for screen understanding and locator-free interactions. - Fine-tune and deploy LLMs and Vision Language Models (VLMs) for tasks like **Optical Character Recognition (OCR)**, layout analysis, and dynamic user interface handling using **PyTorch** or **TensorFlow**, with prompt engineering for robust agent behavior. - Build **production pipelines** that include data preprocessing, inference, feedback loops, retrieval-augmented generation (RAG) for test knowledge, and API endpoints for APK uploads and execution. - Productionize models into real-time workflows on **AWS** or **Google Cloud Platform (GCP)**—containerize applications with **Docker** or **Kubernetes**, optimizing for cost and speed while monitoring performance. - Collaborate on agentic features that ensure reliable execution, precision debugging, and cross-device synchronization—transforming raw screens into actionable insights. ## Qualifications - 4-6 years of experience in **AI/ML** and backend development, with an emphasis on **Python** (FastAPI or LangChain is a plus). - Proven experience in **fine-tuning LLMs and VLMs** for vision and natural language processing; familiarity with OpenAI or Claude toolkits is advantageous. - Strong backend expertise, including developing **REST APIs** and working with SQL/NoSQL databases (such as MongoDB or DynamoDB) to create scalable systems. - Experience in deploying AI models to production with a focus on **MLOps** practices, including the use of **Docker**, cloud infrastructure, and CI/CD pipelines. - Strong communication skills with the ability to think critically and iterate quickly on assignments. ## Preferred Skills - Experience with additional machine learning frameworks or libraries. - Knowledge of mobile application development or testing frameworks. ## Experience 4-6 years of relevant experience in AI/ML and backend development.