Senior AI Engineer

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