




Summary: Seeking a Senior AI Engineer to lead strategic AI initiatives, developing robust and scalable solutions across diverse business needs and collaborating with cross-functional teams. Highlights: 1. Lead development of AI capabilities addressing diverse business needs 2. Contribute meaningfully to strategic AI initiatives 3. Deliver robust, scalable AI solutions We are seeking a **Senior AI Engineer** to lead the development and enhancement of AI capabilities that address diverse business needs across our organization. This role provides a unique opportunity to contribute meaningfully to strategic AI initiatives, working closely with Product and Engineering teams to deliver robust, scalable AI solutions. **Responsibilities** * Design, develop, and deliver AI systems that cater to multiple products and internal use cases * Translate product objectives into actionable technical plans and contribute to team strategies * Build and integrate AI solutions, including LLM\-based systems, RAG pipelines, agents, and orchestration layers * Develop systems for structured data extraction, content classification, and content generation aligned with organizational ontologies * Contribute to a shared AI platform, ensuring reuse, maintainability, and enhanced developer experience * Optimize AI systems for cost\-efficiency, scalability, performance, and operational reliability * Stay informed about advancements in AI/ML and assess new tools and technologies * Collaborate with cross\-functional teams during the planning and delivery phases to refine requirements and approaches * Effectively communicate technical tradeoffs, constraints, and risks to stakeholders * Take ownership of projects while maintaining a balance between speed, quality, and long\-term sustainability **Requirements** * 3\+ years of professional experience as a software engineer * Strong proficiency in Go or other modern backend languages such as Python, PHP, Java, or Scala * 1\+ years of hands\-on experience building and deploying AI/ML systems in production environments * Experience with modern GenAI ecosystems including OpenAI, Anthropic, and Hugging Face, as well as frameworks like LangChain * Expertise in implementing NLP tasks using LLMs, such as text classification, named entity recognition, extraction, and summarization * Working knowledge of cloud platforms like AWS, GCP, or Azure, and familiarity with MLOps workflows * Proficiency with vector databases, inference engines, and data persistence layers * Strong SQL skills and experience handling structured and semi\-structured data * English proficiency at B2 level or higher **Nice to have** * Familiarity with frontend frameworks such as React or Angular * Experience developing internal services or systems utilized across teams * Background in working with large\-scale taxonomies or ontologies for classification, tagging, or content generation * Experience with structured output handling, including JSON mode, schema validation, and output parsing


