Essential Job Duties and 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.
Required Skills, Knowledge, and Abilities
- 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, OpenAI 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.
- 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.
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