Senior AI/ML Software Engineer

Summary

Join Conductor, a leading Website Optimization & Intelligence platform, as a Senior Machine Learning Engineer. You will play a crucial role in designing, developing, and implementing innovative AI solutions for our customers. This position involves collaborating with various teams to create scalable, high-performance, and secure SaaS applications. As a Senior ML Engineer, you will be responsible for designing and implementing end-to-end AI systems, orchestrating multi-model decision workflows, optimizing AI models, and collaborating with cross-functional teams. You will also stay current with the latest AI/ML techniques and mentor other engineers. This role requires 5+ years of experience in software development, with a strong focus on building scalable and secure SaaS applications for intelligent applications. You should have deep knowledge of modern technologies like LLM architectures, retrieval-augmented generation, and multi-agent AI architectures. Proficiency with traditional ML technologies, Python coding, and cloud technologies is essential. Excellent communication skills and a solution-oriented approach are highly valued.

Requirements

• 5+ 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)
• Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations
• 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
• 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
• Self-directed, proactive, and comfortable working across organizational stacks, taking ownership of end-to-end problem-solving in a fast-paced environment

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
• 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

Benefits

• Friendly, open-minded and helpful colleagues
• Access to learning platforms such as LinkedIn Learning
• Team and company events
• Urban Sports (M) or Fitness First membership
• 28 days vacation at the start, 30 days after two years
• Company pension allowance