Applied AI Engineer, Field Engineering

TwelveLabs

112d

About The Position

As an Applied AI Engineer, you will be a hands-on technical expert helping customers turn TwelveLabs’ full stack video understanding AI into production-ready solutions. You’ll prototype, integrate, and optimize AI applications built on TwelveLabs’ models and products, collaborating closely with our Science, Product, and Engineering (SPE) teams to extend model capabilities and build repeatable patterns for real-world adoption. This role sits at the intersection of AI research and applied engineering: you’ll help customers explore what’s possible, then roll up your sleeves to make it practical, scalable, and secure.

Requirements

• 5+ years in software engineering, machine learning engineering, applied machine learning, or a related field with a focus on building model driven, production workloads.
• Deep familiarity with data science fundamentals.
• Working knowledge of linear algebra and its application to embeddings.
• Ability to analyze customer data, design experiments, and interpret results for both technical and non-technical stakeholders.
• History of rich internal documentation and communication.

Nice To Haves

• Experience dealing with video at scale using tools such as ffmpeg and a fundamental understanding of how video compression and processing techniques.
• Strong proficiency in Python and common AI/ML libraries.
• Proficiency in C, C++, Rust, or a similar lower-level, performance oriented language.
• Familiarity with LLM/multimodal workflows: embeddings, retrieval-augmented generation (RAG), prompt engineering & orchestration, agentic systems, and/or evaluation frameworks.
• Experience deploying AI/ML systems in cloud environments (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).

Responsibilities

• Prototype and build applications and workflows using TwelveLabs models and products.
• Experiment and tune TwelveLabs models using customer data.
• Integrate into customer stacks: Bring TwelveLabs powered solutions to customers in a format consumable by their teams.
• Develop evaluation frameworks for accuracy, latency, cost, and robustness in production workloads.
• Create reusable assets (code samples, reference apps, documentation) to accelerate adoption across multiple accounts.
• Collaborate with SPE: co-design experiments, validate new capabilities, and influence roadmap through applied field insights.

Benefits

• An open and inclusive culture and work environment.
• Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
• Full health, dental, and vision benefits.
• Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
• VISA support (such as H1B and OPT transfer for US employees).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees