Modus Create Logo

Modus Create

Senior AI/ML Engineer

Reposted 2 Days Ago
Remote
Hiring Remotely in United States of America
Senior level
Remote
Hiring Remotely in United States of America
Senior level
Design, architect, and deploy generative AI/LLM solutions from prototype to production; work directly with clients to translate business needs into technical plans; write production-quality code integrating LLMs and ML models; collaborate with cloud, DevOps, and frontend teams; support proposals, sales, and evaluation/observability of models.
The summary above was generated by AI
Senior AI/ML Engineer

Remote US | Full-Time

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.

What You’ll Do

No two days look the same in this role. You might spend one day whiteboarding 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.
About You

You're an engineer who thrives in client-facing environments and can own problems end-to-end, from a vague business need to a working system in production.

Your core strength is deploying and operationalizing AI. You have hands-on experience deploying large and small language models (LLMs/SLMs) in the cloud and on-premises, and you're comfortable with techniques like prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic architectures (tool use, multi-agent orchestration, human-in-the-loop workflows). You understand 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, as it will enable you to work on a broader range of engagements.

You’ll work side by side with cloud architects, DevOps specialists and front-end developers, so some knowledge and experience in any of these would help in collaboration.

You should be comfortable presenting work to both technical and non-technical audiences, driving alignment with stakeholders and between technical and business outcomes, leading technical teams and cross-collaborating with teams in adjacent domains. 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 deployment of LLM-based applications
  • 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

Above all, AI is a rapidly-evolving field so the curiosity and drive to keep learning matter as much as what you already know.

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We were fully remote before it was cool! We support organizations on their digital transformation journey through strategic consulting and full lifecycle product development, partnering with industry leaders including Atlassian, GitHub and AWS. Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.

We combine boutique expertise with enterprise-scale capabilities, helping organizations drive customer engagement, enhance retention, and maximize long-term value. As an award-winning Atlassian partner, we enable businesses to build customer-centric products that foster lasting relationships and adoption.

Why Modus Create

Modus Create is a global consulting firm that helps organizations modernize their platforms, products, and processes. From open-source roots to enterprise transformation, we bring together strategy, design, engineering, and AI to build what’s next.

  • 100% remote since day one
  • Named a top company for remote work by FlexJobs and Inc.
  • Trusted by leading brands across the globe
  • Culture of autonomy, mastery, inclusion and continuous learning

By joining our team, you’ll be part of a high-performing group that leverages each other’s strengths and celebrates every success together. Apply now and show us you have what it takes to drive impactful data engineering & machine learning strategies with Modus Create!

Top Skills

Agentic Architectures
Amazon Bedrock
AWS
Bash
Claude Code
Cursor
Evaluation/Observability Libraries
Function Calling
Git
Git
Github Copilot
Gitlab
Google Adk
Java
Langchain
Langgraph
Llms
Mcp
NoSQL
Python
PyTorch
R
Rag
Rekognition
Rust
Sagemaker
Scala
SQL
TensorFlow
Terraform

Similar Jobs

3 Days Ago
Remote or Hybrid
108K-162K Annually
Senior level
108K-162K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.
Top Skills: DockerGCPGoKubernetesUnix/Linux
4 Days Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead AI/ML engineer responsible for developing and deploying AI solutions in healthcare, collaborating with teams, and designing ML models.
Top Skills: AWSAzureC#GCPJavaPythonPyTorchTensorFlow
6 Days Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Sr AI/ML Engineer designs and deploys generative AI and NLP solutions, develops large language models, and implements AI systems for healthcare impact.
Top Skills: AWSAzureGCPHugging FaceLlm Orchestration FrameworksPythonPyTorchTensorFlow

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account