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
- 3+ years of experience in software development, with at least 3 years in building scalable and secure SaaS application platforms and systems for intelligent applications.
- Deep knowledge of modern technologies including: LLM architectures (GPT-4, Claude, Gemini)
- Deep knowledge of modern technologies including: Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations
- Deep knowledge of modern technologies including: Multi-agent AI architectures and agentic frameworks
- Experience with model evaluation, including designing self-assessment prompts and implementing performance dashboards using relevant metrics (confidence and perplexity scores, win-rate comparisons between model versions, etc.).
- Proficiency with traditional ML technologies (PyTorch, TensorFlow, AWS SageMaker, MLflow) and strong Python coding skills.
- Experience with cloud technologies, particularly in data processing and distributed systems. Knowledge of AWS technologies is a plus.
Responsibilities
- Design and implement end-to-end AI systems and ML pipelines, creating a scalable framework that powers iterative R&D workflows.
- Orchestrate multi-model decision workflows and implement efficient agent handoff systems that optimize for both performance and user experience.
- Design human-in-the-loop interactions allowing AI agents to collaborate effectively with content marketers, incorporate feedback, and refine workflows autonomously.
- Optimize AI models for efficiency, interpretability, and real-world performance in enterprise environments.
- Define AI evaluation frameworks and metrics to ensure continuous improvement of models and systems.
- Collaborate with cross-functional teams to unlock insights, innovation, and intelligence in our applications.
- Stay current with state-of-the-art techniques in AI/ML and apply this knowledge to our architectures.
Other
- The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team.
- Mentor other engineers and foster a culture of knowledge sharing and collaboration.
- Understand challenges in the SEO space and solve problems, not just deliver features.
- Excellent communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders.
- Solution-oriented approach using rapid prototyping, experimentation, and iterative development.
