The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT.
Requirements
- Strong expertise in system design, distributed computing, and scalable architecture patterns for handling large datasets and high-throughput applications.
- Proficiency in multiple programming languages with strong Python coding skills. Experience with Java is highly valued.
- Strong database experience including both SQL and NoSQL systems, with knowledge of data modeling and optimization techniques.
- Experience with AI/ML technologies including LLMs, vector databases (e.g., Milvus), embeddings, and ML frameworks.
- Knowledge of MLOps practices, model deployment, and AI system integration in production environments.
- Experience working across the full software development lifecycle including CI/CD, monitoring, testing, and production deployment.
- Implement AI/ML capabilities including LLM integration, vector databases, and intelligent content processing workflows.
Responsibilities
- Lead the technical architecture, design, and implementation of large-scale distributed systems and data platforms to support customer needs and business growth.
- Oversee the planning, execution, and successful delivery of complex engineering projects, ensuring adherence to engineering best practices and quality standards.
- Design and build scalable, high-performance backend systems and APIs that handle millions of requests and large datasets efficiently.
- Architect robust data processing pipelines and ETL workflows using modern cloud technologies and distributed computing frameworks.
- Drive technical decision-making across the engineering organization, evaluating trade-offs and establishing engineering standards and practices.
- Lead cross-functional collaboration with product, AI/ML engineering, data engineering, and infrastructure teams to deliver comprehensive solutions.
- Build and maintain CI/CD pipelines, monitoring systems, and deployment automation to ensure reliable software delivery.
Other
- Completed studies in Computer Science, Mathematics, engineering or a related field or equivalent professional experience.
- 8+ years of experience in software development, with experience in product-driven companies
- Proven track record of technical leadership, mentoring engineers, and driving engineering excellence within teams.
- Up-to-date with rapidly-evolving technologies and demonstrated ability to evaluate and adopt new tools and frameworks.
- Analytical, proactive, structural and implementation-oriented thinking, combined with a solution- and goal-oriented hands-on personality, who is comfortable working across stacks in an organization without silos and taking ownership of end-to-end problem-solving.
