Lead, Software Engineer, AI

About the position

We are looking for a hands-on and technically strong Lead Software Engineer, AI to guide the design and delivery of intelligent solutions across our AI-driven unified payroll and compliance platform. This role combines software engineering excellence, leadership in AI/ML system design, and a practical focus on AI-powered data analytics and intelligent reporting. You will work at the intersection of automation, compliance, and intelligent data extraction—playing a key role in transforming how complex business rules are digitized, analyzed, and presented. As a player-coach, you will lead technical implementation efforts while also mentoring engineers and collaborating with cross-functional teams to operationalize AI solutions across both product workflows and internal analytics platforms.

Responsibilities

• Architect, develop, and deploy AI-enabled backend services using Python, Node.js, and TypeScript in a modern, cloud-native microservices architecture.
• Integrate LLMs, NLP models, and intelligent agents into backend systems, leveraging Model Context Protocol (MCP) to maintain context integrity in AI interactions.
• Build and scale Intelligent Document Processing (IDP) pipelines to extract and validate data from union contracts, rate sheets, and compliance documents.
• Lead the development of AI-powered analytics and reporting pipelines that deliver actionable insights from both structured and unstructured data sources.
• Work with data engineering and business teams to automate the generation of payroll insights, rule compliance status, and exception reports.
• Develop scalable systems for real-time dashboards and data storytelling experiences, integrating ML outputs with reporting tools or APIs.
• Write maintainable, production-grade code in Python and TypeScript, building APIs and services that support model inferencing and data extraction.
• Implement and expose AI and analytics capabilities through REST/GraphQL APIs for use in front-end apps and workflow tools (React-based).
• Leverage AWS technologies (Lambda, S3, SageMaker, DynamoDB, Textract, Step Functions) to operationalize AI and data processing.
• Lead code reviews, architecture sessions, and cross-functional planning with product, data, and engineering stakeholders.
• Mentor team members on best practices in AI engineering, prompt engineering, scalable data analytics, and secure ML operations.
• Evaluate and pilot new tools in the AI/ML, IDP, LLM, and analytics ecosystems.

Requirements

• 8+ years of software engineering experience, with 3+ years in a technical leadership role.
• Strong programming skills in Python, TypeScript, and Node.js, with deep understanding of microservice and event-driven architectures.
• Hands-on experience building AI/ML models, particularly for NLP, LLMs, or IDP use cases.
• Experience integrating LLMs using platforms like OpenAI, Bedrock, Cohere, or Claude, and applying Model Context Protocol (MCP) in production systems.
• Proven ability to develop AI-powered analytics and automated reports from semi-structured and unstructured data.
• Proficiency in SQL and NoSQL databases such as PostgreSQL, Redis, and DynamoDB.
• Strong understanding of cloud-native development using AWS (e.g., SageMaker, SQS, Lambda).

Nice-to-haves

• Experience in payroll, HR, compliance, or legal tech domains.
• Familiarity with analytics and reporting libraries/tools (e.g., Apache Superset, Metabase, Power BI, or custom dashboards).
• Knowledge of domain-driven design, rules engines, and data governance in regulated environments.
• Prior experience building systems that extract and apply union contract logic or other legal/financial rule sets.
• Open-source contributions or publications in AI/ML or data engineering are a plus.
• Solid experience utilizing AI driven development assistance tools like GitHub Copilot, Cursor etc.

Benefits

• Medical, Dental, Vision, PTO, health and wellness programs, employee discounts, and more!