AL/ML Engineer

Role Overview: As an AI / ML Engineer at GalaxiQ, you will be part of a remote-first team working on building an AI-native marketing intelligence platform from scratch. This role will involve combining Machine Learning and LLM systems to create production-grade products. You will operate at the intersection of Machine Learning, LLM Systems, and Production Backend Engineering. Key Responsibilities: - Develop ML-driven ranking, classification, and prediction systems for marketing intelligence - Build LLM orchestration pipelines with multi-step reasoning and structured outputs - Create production-grade Python services to power AI and ML workflows - Implement RAG systems, embedding pipelines, and semantic retrieval architectures - Design model evaluation frameworks considering accuracy, drift, hallucination control, and latency-cost tradeoffs - Develop API-first AI systems for scalability - Construct data pipelines to feed ML and LLM systems Qualifications Required: - Strong Python engineering skills, particularly in a production environment - Solid foundation in Machine Learning including supervised, unsupervised, ranking, and classification models - Hands-on experience in building ML systems for production use - Understanding of prompt engineering and LLM workflows - Deep knowledge of LLMs such as OpenAI, Anthropic, and open-source models - Experience in creating end-to-end AI systems covering data, model, API, and product - Proficiency in backend/API development - Familiarity with embeddings, vector search, and retrieval systems like RAG Additional Details (if present): GalaxiQ is an early-stage, fast-moving company with an architecture-heavy focus. In this role, you will have the opportunity to: - Own core ML and AI systems from end to end - Shape product intelligence instead of just implementing features - Work in a high-ownership environment without legacy constraints - Contribute to building an AI marketing suite that streamlines marketing workflows with intelligent systems Please ensure to send your CV, GitHub/ML projects/system design work, and any materials showcasing your real ML and production AI experience to info@galaxiq.ai or via DM. Role Overview: As an AI / ML Engineer at GalaxiQ, you will be part of a remote-first team working on building an AI-native marketing intelligence platform from scratch. This role will involve combining Machine Learning and LLM systems to create production-grade products. You will operate at the intersection of Machine Learning, LLM Systems, and Production Backend Engineering. Key Responsibilities: - Develop ML-driven ranking, classification, and prediction systems for marketing intelligence - Build LLM orchestration pipelines with multi-step reasoning and structured outputs - Create production-grade Python services to power AI and ML workflows - Implement RAG systems, embedding pipelines, and semantic retrieval architectures - Design model evaluation frameworks considering accuracy, drift, hallucination control, and latency-cost tradeoffs - Develop API-first AI systems for scalability - Construct data pipelines to feed ML and LLM systems Qualifications Required: - Strong Python engineering skills, particularly in a production environment - Solid foundation in Machine Learning including supervised, unsupervised, ranking, and classification models - Hands-on experience in building ML systems for production use - Understanding of prompt engineering and LLM workflows - Deep knowledge of LLMs such as OpenAI, Anthropic, and open-source models - Experience in creating end-to-end AI systems covering data, model, API, and product - Proficiency in backend/API development - Familiarity with embeddings, vector search, and retrieval systems like RAG Additional Details (if present): GalaxiQ is an early-stage, fast-moving company with an architecture-heavy focus. In this role, you will have the opportunity to: - Own core ML and AI systems from end to end - Shape product intelligence instead of just implementing features - Work in a high-ownership environment without legacy constraints - Contribute to building an AI marketing suite that streamlines marketing workflows with intelligent systems Please ensure to send your CV, GitHub/ML projects/system design work, and any materials showcasing your real ML and production AI experience to info@galaxiq.ai or via DM.