Senior AI Engineer

We are seeking a Senior AI Engineer to help design, build, and evolve AI capabilities that support a wide range of business use cases across our organization. This position offers a significant opportunity to make a tangible impact on strategic AI projects by collaborating closely with Product and Engineering teams to deliver scalable, reliable AI solutions.

Responsibilities

• Design, develop, and own the delivery of AI systems and components that support multiple product and internal use cases
• Translate product goals into clear, actionable technical work and contribute to shared team plans
• Build, test, and integrate AI solutions, such as LLM-based systems, RAG pipelines, agents, and orchestration layers
• Design and implement systems to extract structured information from descriptions, classify content against large-scale taxonomies, and generate content aligned with organizational ontologies
• Contribute to a shared AI platform with a focus on reuse, maintainability, and internal developer experience
• Optimize AI systems for performance, cost, scalability, and operational reliability
• Stay current with AI/ML trends and help evaluate new tools and technologies
• Collaborate with Product Managers and Engineering partners to refine requirements and shape technical approaches during planning and delivery
• Communicate technical tradeoffs, risks, and constraints clearly and proactively
• Take ownership of projects and deliver them with a high degree of autonomy
• Balance speed, quality, and long-term maintainability in technical decision-making

Requirements

• 5+ years of professional software engineering experience
• 2+ years of experience building and deploying AI/ML systems in production
• Strong proficiency in Go (preferred) or another modern backend language, such as Python, PHP, Java, or Scala
• Experience with modern GenAI ecosystems, such as OpenAI, Anthropic, Hugging Face, or LangChain
• Experience implementing NLP tasks via LLMs, including text classification, named entity recognition, extraction, and summarization
• Working knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps workflows
• Experience with vector databases, inference engines, and data persistence layers
• Strong SQL skills, with experience working with structured and semi-structured data
• Ability to communicate effectively in both written and spoken English (B2 level or higher)

Nice to have

• Familiarity with frontend frameworks such as React or Angular
• Experience in building internal services or systems used by multiple teams
• Experience with large-scale taxonomies or ontologies for classification, tagging, or content generation
• Experience in handling structured outputs (e.g., JSON mode, schema validation, or output parsing)