Senior Software Engineer - Internal AI Solutions

Summary

Join Sword Health's Internal AI Solutions Team and help build a pain-free world powered by AI! As a key member of this growing team, you will implement and optimize AI-driven solutions to improve internal operations and workflows. You will translate strategic objectives into functional software applications, handling both front-end and back-end development tasks. You will proactively identify and resolve technical challenges to enhance system functionality and user experience. This role requires strong analytical and problem-solving skills, proficiency in JavaScript, Python, and SQL, and experience with LLM APIs and cloud services. Sword Health offers a dynamic and mission-driven environment with competitive compensation and benefits.

Requirements

• At least 3 years of experience as a Senior Software Engineer, with strong hands-on proficiency in JavaScript (React, Node.js) and Python
• Proficiency in SQL
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) or open-source models
• Familiarity with cloud services (AWS, Azure, Google Cloud), particularly for deploying and managing AI-powered applications
• Experience integrating AI capabilities into internal tools (e.g., Slack bots, internal dashboards, or workflow assistants)
• Strong analytical and problem-solving skills, with a track record of handling complex projects that require integrating multiple systems
• A proactive approach to process improvement, demonstrating a track record of enhancing system efficiencies and effectiveness
• Strong communication skills for effective collaboration across multidisciplinary teams

Responsibilities

• Implementing and optimizing AI-driven solutions to improve internal operations and workflows, under the strategic guidance of the Head of Internal AI Solutions
• Translating strategic objectives into functional software applications using specific technologies
• Handling both front-end and back-end development tasks, ensuring seamless integration and performance across our tech stack
• Proactively identifying and resolving technical challenges to enhance system functionality and user experience

Preferred Qualifications

• Familiarity with Retrieval-Augmented Generation (RAG) pipelines and integrating structured/unstructured data into LLM workflows
• Practical experience building or orchestrating AI agents
• Understanding of AI governance principles

Benefits

• Health, dental and vision insurance
• Meal allowance
• Equity shares
• Remote work allowance
• Flexible working hours
• Work from home
• Discretionary vacation
• Snacks and beverages
• English class