Technical Lead (Remote - US Only)

LighthouseAI provides pharmaceutical state licensing software and services to pharmaceutical manufacturers, wholesale distributors, logistics companies, and pharmacies. The LighthouseAI product suite includes LighthouseAI Intelligence®, which uses artificial intelligence to automate compliance requirement research, and LighthouseAI Management® which enables maintenance. LighthouseAI creates a stress-free and streamlined state licensing experience with support from our expert industry veterans and professional solutions.

The Technical Lead is a hands-on engineering leader responsible for setting technical direction, guiding architecture, ensuring high-quality delivery, and supporting the growth of the engineering team. This role blends software engineering, architecture, AI technology evaluation, and technical mentorship. You will play a key role in assessing and integrating emerging AI capabilities into the product to accelerate automation, strengthen compliance, and enhance user experiences. The ideal candidate is an experienced engineer who enjoys solving complex problems, driving best practices, and enabling teams to build scalable, reliable, and secure software systems.

This is a full-time remote position.
Applicants must be legally authorized to work in the US.
Working Hours: Monday-Friday 8am-4:30pm ET

Essential Duties and Responsibilities:

Technical Leadership & Architecture

• Lead architectural design for new features, services, and system components.
• Evaluate modern AI/ML technologies and determine appropriate use cases.
• Make key technical decisions that balance performance, scalability, and maintainability.
• Review designs, PRs, and technical documentation to ensure engineering excellence.
• Evaluate and introduce new tools and technologies to improve software development productivity.

Hands-On Development

• Perform full-stack development regularly across both frontend and backend systems, taking ownership of end-to-end feature implementation.
• Develop and deliver core components of application, AI-powered features, and architectural components.
• Diagnose and resolve complex technical issues across the full stack and drive sustainable solutions.
• Ensure code quality, test coverage, reliability, and adherence to engineering standards.

Team Management & Collaboration

• Mentor, guide and manage engineers, and contribute to raising the technical bar across the organization.
• Lead discussions on AI best practices, emerging trends, model evaluation techniques, and responsible AI usage.
• Facilitate knowledge sharing, pair programming, and engineering best practices.

Delivery & Execution

• Collaborate with Product Management to translate product requirements into clear technical plans, architecture and milestones.
• Partner with Engineering Managers to balance priorities, manage sprint commitments, and guide execution.
• Streamline and optimize the CI/CD pipeline to improve deployment reliability, speed, and developer productivity.
• Guide teams through incident response, root-cause analysis, and preventive improvements.

Cross-Functional Alignment

• Work closely with Product, Design, Data/SME, QA, and DevOps to ensure alignment on goals and technical feasibility.
• Communicate architectural decisions, tradeoffs, and implementation plans clearly to both technical and non-technical stakeholders.
• Support go-to-market teams with technical insights for feature capabilities.

Work Experience Qualifications:

Required

• 8+ years of software engineering experience with increasing ownership and technical complexity.
• Expertise in designing and building scalable, secure, and reliable SaaS applications.
• Experience in developing data-driven enterprise software with complex workflows, rule engines or regulatory frameworks.
• Strong full-stack engineering background, with deep experience building and maintaining both frontend and backend systems.
• Strong proficiency in the team’s core technologies (customize as needed: e.g., Python, Node.js, React, AWS, SQL/NoSQL, serverless, microservices, containerization).
• Experience evaluating and integrating AI technologies into real-world applications
• Proven experience breaking down complex problems into clear, actionable engineering plans.
• Excellent communication skills and ability to collaborate across teams.
• Experience mentoring and guiding engineers.

Preferred

• Experience in regulated industries (e.g., pharma, healthcare, finance) or handling compliance-sensitive data.
• Knowledge of security best practices, DevOps principles, CI/CD, and cloud infrastructure.
• Familiarity with modern architectural patterns: event-driven design, workflow engines, or data pipelines.
• Experience with observability practices (logging, metrics, tracing) and operational excellence. 

Compensation:

• Annual Salary:  $170,000

Benefits:

• Health, Dental, Vision Insurance
• STD, LTD, Life Insurance
• 401(k)
• PTO and Paid Holidays