Staff Applied AI Engineer

Staff Applied AI Engineer

Location

San Francisco Bay Area; Austin, TX

Employment Type

Full time

Location Type

Hybrid

Department

Engineering

Overview

Application

About Orum

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.

We are a 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/

What You’ll Do

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

What You’ll Work On

AI-driven coaching and insights from call transcripts

Real-time intelligence during calls, such as next best action and signals

Prospect enrichment and intelligent data augmentation

Internal AI tools to improve engineering and product velocity

What We’re Looking For

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 Have

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

Why This Role Matters

You will play a key role in defining our AI strategy and execution

Your work will unlock value from our data and enable AI-driven product innovation

You will have a broad impact across multiple teams and domains

What Success Looks Like

High-impact AI features shipped and adopted by customers

Real-time AI capabilities integrated into core product workflows

Clear technical direction for applied AI across teams

Measurable improvements in product outcomes such as conversion, call quality, and coaching effectiveness

Orum Is An Equal Opportunity Employer

We're committed to continually adding to our diverse team that represents various backgrounds, perspectives, and skills. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. If you need assistance or accommodation due to a disability, you may contact us at hr@orum.com. In short, we want you to join in on the ride if you're talented for one of our roles, with no other qualifiers.