About the position
We are looking for a highly skilled Senior AI Software Engineer to design and build smart, user-facing AI features that make complex business workflows simple, intuitive, and insightful. In this hands-on role, you’ll work across the full AI/ML stack to bring intelligent experiences—such as context-aware chatbots, AI-driven data explanations, automated task guidance, and interactive forecasting dashboards—to life. This is a unique opportunity to shape how users interact with data, make decisions, and complete critical tasks across payroll, compliance, and labor management systems—using cutting-edge AI tools like LLMs, embeddings, and Model Context Protocol (MCP).
Responsibilities
- Design and develop context-aware AI assistants and chatbots that help users navigate complex workflows and answer domain-specific questions.
- Build AI-guided task assistants that proactively surface recommendations, fill in missing data, or automate next steps in real-time.
- Implement explainable AI (XAI) features that help users understand insights, predictions, or system decisions transparently.
- Develop AI-driven dashboards and prediction engines that provide instant insights into user actions, financial trends, labor forecasts, and potential compliance risks.
- Build self-service AI tools that allow users to ask natural language questions of their data and receive visual, interpretable responses.
- Collaborate with UX and product teams to embed these insights directly into the application experience.
- Build scalable backend services in Python, TypeScript, and Node.js, integrating with LLMs, vector stores, and analytics engines.
- Use Model Context Protocol (MCP) to manage and preserve context across chat, prediction, and recommendation workflows.
- Leverage cloud-native tools (AWS Lambda, SageMaker, Bedrock, DynamoDB) to deploy and scale AI features.
- Write clean, production-quality code and participate in architectural reviews, technical design, and agile ceremonies.
- Work closely with data scientists, designers, and other engineers to prototype and ship AI-powered product experiences.
- Continuously evaluate emerging AI tools, LLM frameworks, and APIs to push the product’s intelligence capabilities forward.
Requirements
- 5–8 years of professional software engineering experience, with significant hands-on AI/ML application development.
- Strong programming skills in Python, TypeScript, and Node.js, including experience building and integrating backend APIs.
- Experience building with LLMs, embeddings, and prompt engineering, especially for chat, recommendations, or summarization tasks.
- Familiarity with Model Context Protocol (MCP) or similar frameworks for managing long-lived AI context.
- Proficiency in cloud platforms (preferably AWS) and data technologies (e.g., PostgreSQL, Redis, DynamoDB).
- Passion for delivering intuitive, AI-enhanced user experiences through strong cross-functional collaboration.
Nice-to-haves
- Experience building AI features in productized environments—such as guided workflows, task automation, or user-facing insights.
- Familiarity with LangChain, Semantic Kernel, or similar orchestration frameworks.
- Knowledge of forecasting models, causal inference, or time-series prediction in business/product contexts.
- Experience building natural language interfaces over structured business data.
- Background in payroll, HR tech, fintech, or operational compliance is a plus.
Benefits
- Medical, Dental, Vision
- PTO
- Health and wellness programs
- Employee discounts
- Comprehensive package of employee benefits
