Principal Software Engineer - GenAI

Technologies we use

About the project

Your responsibilities

• Technical Strategy: Lead the technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals.
• Core Architecture: Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines. Architect solutions for high-complexity Agile stories across multiple domains.
• Cross-functional Collaboration: Partner with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems.
• Mentorship: Guide and mentor engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization.
• Security & Compliance: Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance.
• System Reliability: Debug and resolve complex issues in distributed AI systems to ensure minimal downtime and high availability. Build monitoring, alerting, and observability for SaaS-delivered products.
• DevOps/MLOps: Champion CI/CD and MLOps practices for the continuous delivery of AI features and models.
• Team Building: Participate in hiring and talent development for the GenAI team.

Our requirements

• Education: Bachelor’s degree (or higher) in Computer Science, Computer Information Sciences, or a related field.
• Experience: 7+ years of software development experience, paired with 5+ years of strategic leadership experience.
• Core Engineering: Expert in scalable, resilient, modern, cloud-native microservice development using Java, .NET, Python, or TypeScript.
• Architecture: Expert in distributed software patterns (DDD, microservices, serverless, and event-driven architecture). Experience with CQRS and Kafka.
• AI/ML Expertise: Proven experience with LLM integration, RAG pipelines, vector databases, and prompt engineering. Hands-on experience with transformer-based models, Hugging Face, LangChain, or similar frameworks.
• Cloud & Infrastructure: Deep knowledge of cloud platforms, cloud-native architectures, and Serverless. Experience with Terraform/Ansible or other IaC platforms.
• Automation: Expert with CI/CD to deliver software enhancements to customers with full automation.
• Best Practices: Strong knowledge of data security, compliance, and responsible AI principles. Ability to lead, teach, and guide modern software development practices.

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What we offer

• Leadership role in a high-impact, greenfield AI research project.
• Attractive compensation based on experience and qualifications.
• Opportunity for accelerated professional development.
• Exposure to cutting-edge technology and collaboration with globally recognized AI teams.
• Potential for temporary assignments in Shenzhen, China, one of the world’s leading tech innovation hubs.

Benefits