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Senior AI Engineer
Indeed
Full-time
Onsite
No experience limit
No degree limit
79Q22222+22
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Description

Summary: Seeking a Senior AI Engineer to design, build, and evolve AI capabilities across the organization, making a tangible impact on strategic AI projects. Highlights: 1. Opportunity to make a tangible impact on strategic AI projects 2. Collaborate closely with Product and Engineering teams 3. Take ownership of projects and deliver with high autonomy 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)

Source:  indeed View original post
Juan García
Indeed · HR

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