[Hiring] Senior AI/ML Engineer @Modus Create

Role Description

We’re looking for an exceptional Senior AI Engineer with 4+ years of software engineering experience and a proven track record delivering Generative AI solutions to join Modus’s Engineering Consulting team.

No two days look the same in this role. You might spend one day white boarding an architecture with a client, the next drafting a proposal for a new engagement, and the next deep in code shipping an LLM-powered feature. As a senior engineer on our consulting team, you'll move fluidly between:

• Designing and building AI solutions: scoping, architecting, and implementing applications powered by generative AI, from proof of concept to production deployment.
• Working directly with clients: understanding their problems, proposing solutions, and translating business needs into technical plans. You're the trusted technical advisor in the room.
• Hands-on engineering: writing production-quality code, integrating LLMs and ML models into real systems, and deploying them to the cloud.
• Collaborating across disciplines: partnering with cloud architects, DevOps specialists, and front-end developers to deliver end-to-end solutions.
• Supporting business development: contributing to proposals, scoping engagements, and supporting sales and marketing efforts when needed.

Qualifications

• Experience deploying and operationalizing AI.
• Hands-on experience deploying large and small language models (LLMs/SLMs) in the cloud and on-premises.
• Comfortable with techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic architectures.
• Understanding of how to evaluate model outputs and build reliable systems around inherently probabilistic components.
• Familiarity with classical ML (prediction, classification) and data science fundamentals is a desirable plus.
• A background in cloud services for machine learning, text extraction, speech recognition, or computer vision will broaden the engagements you can contribute to.
• Proficiency in Python is a must.
• Experience with other programming languages like Java, Scala, Rust, or R is highly desirable.
• Knowledge and experience in cloud architecture, DevOps, and front-end development would help in collaboration.
• Comfortable presenting work to both technical and non-technical audiences.
• Experience in supporting sales and marketing efforts is a desirable plus.

Requirements

• LLM deployment and agentic AI: experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, Google ADK), agent tooling and protocols (e.g., MCP, function calling), and evaluation/observability libraries.
• Cloud AI services: experience with managed AI services such as Amazon Bedrock, SageMaker, Rekognition, etc. or equivalents on other platforms.
• Machine learning frameworks: familiarity with frameworks like TensorFlow or PyTorch is a plus.
• AI-assisted development tools: experience with AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude Code) and agentic coding workflows.
• Cloud platforms: solid experience with at least one major cloud provider (AWS preferred); infrastructure as code (e.g., Terraform) is a plus.
• Version control and DevOps: Git, GitHub/GitLab; DevOps and CI/CD experience is a big plus.
• Programming and scripting languages: Python, Bash; knowledge of other languages is a plus.
• Data storage and querying: SQL and NoSQL databases.
• Curiosity and drive to keep learning in the rapidly-evolving field of AI.

Benefits

• 100% remote since day one.
• Named a top company for remote work by FlexJobs and Inc.
• Culture of autonomy, mastery, inclusion, and continuous learning.
• Part of a high-performing group that leverages each other’s strengths and celebrates every success together.