About the job
Senior AI/ML Engineer
Remote US | Full-Time
We are seeking a talented Senior AI Engineer with over 4 years of software engineering expertise and a solid record of delivering Generative AI solutions to join Modus Create's Engineering Consulting team.
Responsibilities
In this dynamic role, your days will vary. You may find yourself brainstorming architectural designs with clients one day, drafting a proposal for new projects the next, and then diving into code to ship features powered by large language models (LLMs). As a senior engineer on our consulting team, you will:
- Design and construct AI solutions: Scope, architect, and implement applications powered by generative AI, from proof of concept through to production deployment.
- Engage with clients directly: Analyze their challenges, propose solutions, and translate business needs into technical blueprints, becoming the trusted advisor in the room.
- Perform hands-on engineering: Write production-quality code, integrate LLMs and machine learning models into real systems, and deploy them in cloud environments.
- Collaborate across disciplines: Work alongside cloud architects, DevOps specialists, and front-end developers to deliver comprehensive solutions.
- Support business development: Contribute to proposals, help scope engagements, and assist with sales and marketing initiatives as necessary.
Your Profile
You are an engineer who excels in client-facing scenarios and can take ownership of problems from conception to deployment. Your primary strength lies in deploying and operationalizing AI. You have hands-on experience with deploying large and small language models (LLMs/SLMs) both in cloud environments and on-premises. You are adept with techniques such as prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic architectures (tool use, multi-agent orchestration, human-in-the-loop workflows). You possess the ability to evaluate model outputs and construct reliable systems around inherently probabilistic components.
Familiarity with traditional ML (prediction, classification) and foundational data science is a plus. Experience in machine learning cloud services, text extraction, speech recognition, or computer vision will enable you to broaden your contributions across engagements.
Proficiency in Python is essential, and experience with additional programming languages such as Java, Scala, Rust, or R is highly desirable.

