Senior AI Engineer

We are seeking a Senior AI Engineer to design, build, and evolve advanced AI capabilities for diverse business use cases. This role offers a significant opportunity to impact strategic AI projects, collaborating with Product and Engineering teams to deliver scalable, reliable AI solutions.

Responsibilities

• Design, develop, and own the delivery of AI systems and components supporting multiple product and internal use cases.
• Translate product goals into clear, actionable technical work and contribute to shared team plans.
• Build, test, and integrate advanced AI solutions, including LLM-based systems, RAG pipelines, agents, and orchestration layers.
• Design and implement systems for extracting structured information, classifying content against large-scale taxonomies, and generating content aligned with organizational ontologies.
• Contribute to a shared AI platform, focusing on reuse, maintainability, and internal developer experience.
• Optimize AI systems for performance, cost, scalability, and operational reliability.
• Stay current with AI/ML trends and evaluate new tools and technologies.
• Collaborate with Product Managers and Engineering partners to refine requirements and shape technical approaches.
• Communicate technical tradeoffs, risks, and constraints clearly and proactively.
• Take ownership of projects and deliver 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 other modern backend languages like Python, PHP, Java, or Scala.
• Experience with modern GenAI ecosystems, including OpenAI, Anthropic, Hugging Face, or LangChain.
• Experience implementing NLP tasks via LLMs, such as 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).