AI Software Engineer

Responsibilities

• Design, develop, and test a variety of AI-driven software assignments as part of a larger project.
• Contribute to the implementation of production‑grade AI agent systems, from single‑purpose agents to more complex frameworks.
• Develop and maintain AI‑powered applications on Android platforms, including creating data pipelines to on‑premises servers for AI processing.
• Implement and maintain data pipelines between mobile devices and AI servers, leveraging knowledge of networking technologies.
• Collaborate with senior engineers to develop and integrate AI agents into our New Product Development playbooks.
• Participate in project code reviews and provide input on software design.
• Implement AI model pipelines, including data preprocessing and inference, into software systems.
• Conduct rigorous testing of AI models and software to ensure reliability, accuracy, and compliance with requirements; review test results and perform root cause analysis to identify problems.
• Make changes or upgrades to existing software, enhancing and improving existing technologies to apply to new solutions.
• Create and maintain technical documentation for software, APIs, and system components.
• Stay up to date with the latest AI and software development tools, frameworks, and technologies to drive innovation.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related discipline.
• 2+ years of professional software development experience, or a Master's degree with relevant project/internship experience.
• At least 1 year of practical exposure to AI/ML systems, frameworks, or AI‑enabled applications (can be through projects, internships, or professional work).
• Proficiency in Python and experience with modern AI frameworks and libraries (e.g., LlamaIndex, LangChain, OpenAI APIs, TensorFlow/PyTorch, Hugging Face).
• Experience with Docker containers and Kubernetes.
• Understanding of networking concepts and data transfer protocols (e.g., REST APIs).
• Familiarity with AI agent concepts such as planning, tool use, and reasoning.
• Solid software engineering fundamentals, including data structures, algorithms, and version control (Git).
• Master's degree in a relevant field.
• Experience with or knowledge of Android application development.
• Knowledge or previous projects in training and fine‑tuning AI models is highly desired.
• Knowledge of Retrieval‑Augmented Generation (RAG) and its integration with vector databases.
• Experience with MLOps and deploying AI/ML models in a cloud environment (e.g., AWS, GCP, Azure).
• Exposure to Nvidia CUDA toolkit.
• Familiarity with Agent Development Kits (ADK).
• Experience building or contributing to multi‑agent systems.
• Experience integrating AI solutions with enterprise tools and APIs.
• A pragmatic, “builder” mindset with a passion for prototyping and iterative development.
• Excellent problem‑solving skills and an eagerness to tackle complex challenges.
• Good understanding of software engineering principles (e.g., system design, CI/CD).
• Strong collaboration and communication skills.
• Curiosity and a drive to learn new technologies.