[Remote] Principal Software Engineer- GenAI - Remote

Descrição da Vaga

Requisitos

• Bachelor's degree, or higher education level, or its foreign equivalent, in Computer Science, Computer Information Sciences, and/or related field
• Total Work Experience: 7+ years (software development), 5+ years of strategic leadership experience
• Expert of scalable, resilient, modern, cloud-native microservice development with Java, .NET, Python, or Typescript
• Expert in distributed software patterns, such as DDD, microservices, serverless, and event-driven architecture
• Expert with CI/CD to deliver software enhancements to customers with full automation
• Expertise in AI/ML systems: LLM integration, RAG pipelines, vector databases, and prompt engineering
• Experience in Cloud platforms and cloud-native architectures, including Serverless
• Hands-on experience with transformer-based models, Hugging Face, LangChain, or similar frameworks
• Knowledge of data security, compliance, and responsible AI principles
• Experience with Terraform/Ansible or other IaC platforms
• Experience with CQRS, event-driven architecture, and Kafka
• Experience building monitoring, alerting, and observability for maintaining high customer SLAs for SaaS delivered products
• Excels in the ability to lead, teach, and guide modern software-development practices across Product Development, operating independently with guidance

Responsabilidades

• Lead technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals
• Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines
• Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems
• Architect and deliver solutions for high-complexity Agile stories across multiple domains, ensuring scalability and resilience
• Mentor and guide engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization
• Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance
• Debug and resolve complex issues in distributed AI systems, ensuring minimal downtime and high availability
• Champion CI/CD and MLOps practices for continuous delivery of AI features and models
• Participate in hiring and talent development for the GenAI team
• Perform other related duties and activities as required

Benefícios