Staff Applied AI Engineer
About The Position
Orum’s AI-powered suite frees salespeople to do what they do best: connect, listen, and sell. Our products gives sales teams everything they need to connect faster, sell smarter, and grow revenue. From intelligent dialing and real-time conversation insights to AI-driven coaching and virtual sales floors, Orum is powering thousands of sales teams to have more meaningful conversations and turn every call into measurable impact. Companies who use Orum connect 5x faster and book millions in new pipeline every month. As a company, we are a remote-first team of builders and dreamers creating a future where work feels more meaningful and connected. If you’re excited to change how the world sells, join us. For more information, visit https://www.orum.com/
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- remote-first team
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
