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 - $190,000

Benefits:

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

US Applicants ONLY