Orum

2 months ago

Staff Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Design and deliver AI-powered product features from concept to production, including LLM-based coaching insights and real-time call recommendations. Architect low-latency, large-scale AI systems, define AI/ML best practices, and build scalable data and feature pipelines. Establish evaluation, monitoring, and feedback loops to improve model performance, while mentoring engineers and partnering with Product and Engineering to identify high-impact AI opportunities.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead 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 low-latency, large-scale AI systems.
•Define and implement AI and ML best practices across the engineering org.
•Establish evaluation, monitoring, and feedback loops and mentor engineers to raise applied AI engineering standards.

Key Requirements

•7+ years of software engineering experience with strong hands-on AI and ML experience.
•Proven track record 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.

Experience:7+ yearsAIMachine learningLLMsLLM pipelinesReal-time systemsData pipelines

Skills:MentorshipProduct mindsetIndependent technical directionOperating in ambiguity

Tech Stack:LLMsPromptingRAGEmbeddingsAgentsML pipelinesData pipelinesTrainingInferenceMonitoringBigQueryClickHouseWarehousesStreaming

Company Brief

Orum

Provides real-time bank transfer and payment orchestration APIs that enable businesses to move money instantly and reliably between bank accounts, improving transaction speed, reconciliation, and payout workflows.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2019

Website LinkedIn

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Orum

2 months ago

Staff Applied AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead 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 low-latency, large-scale AI systems.
•Define and implement AI and ML best practices across the engineering org.
•Establish evaluation, monitoring, and feedback loops and mentor engineers to raise applied AI engineering standards.

Key Requirements

•7+ years of software engineering experience with strong hands-on AI and ML experience.
•Proven track record 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.

Experience:7+ yearsAIMachine learningLLMsLLM pipelinesReal-time systemsData pipelines

Skills:MentorshipProduct mindsetIndependent technical directionOperating in ambiguity

Tech Stack:LLMsPromptingRAGEmbeddingsAgentsML pipelinesData pipelinesTrainingInferenceMonitoringBigQueryClickHouseWarehousesStreaming

Company Brief

Orum

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2019

Website LinkedIn