[Remote] Staff Applied AI Engineer
Note: The job is a remote job and is open to candidates in USA. Orum is a company focused on enhancing sales processes through AI-powered solutions. They are seeking a Staff Applied AI Engineer to lead the design and delivery of AI-driven product features, build LLM-based systems, and establish best practices in AI and ML across the engineering organization.
Responsibilities
- Lead the design and delivery of AI-powered product features from idea to production
- Build LLM-based systems for coaching insights and real-time recommendations during calls
- Architect systems that support low latency and large-scale AI use cases
- Define and implement AI and ML best practices across the engineering org
- Partner with Product and Engineering to identify high-impact AI opportunities
- Build scalable data and feature pipelines to support AI use cases
- Establish evaluation, monitoring, and feedback loops to improve model performance
- Mentor engineers and raise the bar on applied AI engineering practices
Skills
- 7+ years of software engineering experience with strong hands-on AI and ML experience
- Proven track record of shipping AI and ML systems into production
- Experience building and deploying ML pipelines for training, inference, monitoring, and continuous improvement
- Deep experience with LLMs and modern AI tooling, including prompting, RAG, embeddings, and agents
- Experience training and fine-tuning models for domain-specific use cases
- Strong system design skills and ability to build scalable, reliable AI systems
- Experience working with large-scale data systems such as pipelines, warehouses, or streaming
- Ability to operate in ambiguity and drive technical direction independently
- Strong product mindset focused on customer impact
- Experience with real-time or event-driven systems
- Background in speech, NLP, or conversational AI
- Experience building customer-facing AI products
- Familiarity with modern data platforms such as BigQuery or ClickHouse
- Experience building AI systems on top of scalable data platforms
Company Overview
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