Senior Engineer II, Copilots - DigitalOcean - Denver, CO, US | Dice.com

DigitalOcean

Apply Now

Senior Engineer II, Copilots

Denver, CO, US • Posted 30+ days ago • Updated 5 hours ago

Full Time

On-site

USD $134,000.00 - 172,000.00 per year

Apply Now

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Fitment

Dice Job Match Score™

📊 Calculating match score...

Job Details

Skills

FOCUS
LangChain
LlamaIndex
Evaluation
A/B Testing
Collaboration
Use Cases
Prototyping
Generative Artificial Intelligence (AI)
Python
Data Science
Machine Learning (ML)
PyTorch
TensorFlow
Machine Learning Operations (ML Ops)
Version Control
Prompt Engineering
Database
Cloud Computing
Artificial Intelligence
Organizational Development
Training
LinkedIn
Market Analysis
DigitalOcean
SAP BASIS
Military

Summary

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We're seeking an Applied Machine Learning Engineer to spearhead the technical development of our first production-grade, agentic AI solutions. You will be a founding technical member of the AI Modernization charter, responsible for bringing AI models to life and demonstrating clear business value to customers. Your focus is on engineering building, reliable, and observable AI systems.
What You'll Do:

Design, build, and deploy end-to-end generative AI applications and agents using modern frameworks (e.g., LangChain, LlamaIndex).
Implement and optimize Retrieval-Augmented Generation (RAG) architectures to ground models in customer-specific data.
Establish and execute evaluation frameworks (Evals) and A/B testing methodologies to measure model performance and guard against failure modes (e.g., hallucination).
Collaborate with the Integrations team to ensure AI solutions are seamlessly integrated into customer products and the DigitalOcean platform.
Work with the AI Product Manager to translate customer use cases into rapid, iterative AI prototypes and production pilots.

What You'll Add to DigitalOcean:

5+ years of experience as an ML Engineer, Applied Scientist, or Software Engineer specializing in AI/ML.
Proven experience deploying LLM/Generative AI models into production environments.
Expertise in Python and common data science/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Solid understanding of MLOps principles and experience with version control, monitoring, and scaling AI services.
Strong background in prompt engineering, data preparation, and vector database technologies.
A portfolio or track record of translating cutting-edge models into tangible, applied business solutions.

Compensation Range:

$134,000 - $172,000

*This is a remote role

#LI-Remote

Why You'll Like Working for DigitalOcean

We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91116063
Position Id: 66d6da9c91ac943b1478cf3ae0f01a5b
Posted 30+ days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Computer Vision Engineer (Level II)

Littleton, Colorado

•

Today

Job Description About Lockheed Martin Space: Space is a critical domain, connecting our technologies, our security, and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more - we can innovate, invest, inspire, and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We'r

Full-time

USD 89,300.00 - 157,435.00 per year

Electrical Engineer II

Colorado Springs, Colorado

•

Today

Are you ready to unleash your technical creativity? Dream, Innovate, Inspire and Empower the next generation to transform humanity through technology and imagination! Electrical engineers at Sierra Nevada Corporation research, design, develop, test, certify, deploy and improve cutting edge products and services. These cover a very wide range from advanced mission payloads and electronic systems through highly integrated aircraft to orbital and space exploration systems. You'll conceptualize and

Full-time

USD 74,581.13 - 102,549.04 per year

Sr. Application Support Engineer

Denver, Colorado

•

Today

REMOTE - Sr. Application Support Engineer (production support .NET/C#/SQL/AWS) for Rapidly Growing SaaS Software Company!! This Jobot Job is hosted by: Lisa Maloney Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $125,000 - $180,000 per year A bit about us: We are a fast-growing software company that is revolutionizing the way people are buying and selling! We are profitable and have doubled revenue every year since inception. Our office ha

Full-time

USD 125,000.00 - 180,000.00 per year

Senior AI Full Stack Engineer (Microsoft Azure)

Remote

•

Yesterday

Senior AI Full Stack Engineer (Microsoft Azure)Introduction:This role is for a Senior AI Full Stack Engineer who will be responsible for developing and integrating AI solutions using Microsoft Azure services. The ideal candidate will have a strong background in C# development, AI technologies, and experience with DevOps practices. Responsibilities:Develop and deploy AI models using Azure OpenAI ServiceIntegrate AI solutions into enterprise workflowsImplement secure deployment and scalability bes

Easy Apply

Full-time