Staff Software Engineer, AI

Summary

Join GoodLeap as a Staff Engineer and lead the architectural vision for our AI enterprise platform. You will design and develop large-scale AI systems, ensuring scalability, reliability, and high performance. Collaborate with cross-functional teams, mentor engineers, and drive innovation in AI technologies like LLMs and machine learning. This role requires extensive experience in software engineering, AI/ML, and cloud infrastructure (AWS). You will contribute to key architectural decisions and ensure compliance with industry regulations. GoodLeap offers a competitive salary, bonus, and equity.

Requirements

• 8+ years of experience in software engineering, with a strong background in building enterprise platforms at scale with expertise in AI/ML
• Experience in designing and deploying real-time LLM systems at scale
• Experience in evaluating, monitoring, and iterating on LLM solutions
• Experience in ML packages and tools, Tensorflow / PyTorch, Sagemaker, MLFlow, OpenAPI API
• Expertise in Node, TypeScript, and Python. Knowledge of .NET is good to have
• Strong expertise in designing systems for high availability, fault tolerance, and scalability
• Experience in cloud infrastructure (AWS) with a focus on performance, security, and monitoring
• Expertise in distributed systems architecture, microservices, and RESTful APIs
• Ability to influence technical direction and work cross-functionally with product, engineering, and executive teams
• Strong leadership skills, with a proven ability to mentor and lead engineering teams
• Strong analytical and problem-solving skills, with an ability to thrive in a fast-paced, dynamic environment

Responsibilities

• Lead the design and development of large-scale, mission-critical AI enterprise agentic platform that integrates with other Goodleap systems and services
• Architect highly scalable, resilient, and secure systems that can handle large volumes and traffic
• Provide technical leadership across teams, guiding decisions on architecture, design patterns, and best practices
• Collaborate with product and engineering leaders to align technical solutions with business objectives
• Drive cross-functional projects to enhance the integration, reliability and performance of our AI enterprise platform
• Ensure compliance with industry regulations, including legal standards
• Mentor senior and mid-level engineers, fostering a culture of growth, learning, and technical excellence
• Evaluate and implement new emerging technologies and tools to continuously improve our systems and development processes
• Contribute to key architectural decisions, including the design of microservices and the adoption of new AI technologies including LLMs, Voice, Image etc

Preferred Qualifications

• Experience with integration of AI/ML solutions with Salesforce & Genesys
• Experience in building multi-agent solutions and reinforcement learning
• Experience in FinTech or other highly regulated industries
• Strong track record of managing complex technical debt and driving long-term architectural strategy

Benefits

• $165,000 - $200,000 a year
• Bonus
• Equity