AI Engineer (Python, Machine Learning, Generative AI/LLMs)

Modus Create

11d • Remote

About The Position

We are looking for an AI Engineer to join our engineering team and design, build, and deploy intelligent solutions using modern Machine Learning, Deep Learning, and Generative AI technologies. You’ll work across the AI/ML lifecycle, from experimentation and model development to integration and production deployment, collaborating with engineering, product, and data teams to turn complex business challenges into scalable AI-powered solutions.

Requirements

• Strong proficiency in Python and experience developing production-ready AI/ML applications and services.
• Solid experience with Machine Learning, including model development, evaluation, optimization, and implementation.
• Hands-on experience building applications using Generative AI and Large Language Models (LLMs).
• Experience with Deep Learning concepts, neural networks, and modern model architectures.
• Practical experience with PyTorch and/or TensorFlow.
• Experience with Natural Language Processing (NLP), including areas such as text processing, embeddings, semantic search, classification, or generation.
• Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector-based retrieval.
• Experience integrating AI/ML APIs, foundation models, and third-party AI services into applications.
• Understanding of MLOps and model deployment, including versioning, monitoring, CI/CD, and production ML workflows.
• Experience with data engineering concepts, including data preparation, transformation, pipelines, and storage for AI/ML workloads.
• Strong software engineering fundamentals with a focus on maintainability, scalability, testing, and code quality.
• Ability to collaborate effectively with engineers, data teams, product teams, and other stakeholders in a distributed environment.

Nice To Haves

• Experience with LLM fine-tuning, prompt engineering, and model evaluation.
• Experience with vector databases, embeddings, and semantic retrieval systems.
• Exposure to AI agents, tool/function calling, or multi-agent architectures.
• Experience with cloud-based AI/ML platforms, containerization, and orchestration technologies.
• Experience implementing AI observability, guardrails, responsible AI, or model governance.
• Experience optimizing AI applications for performance, latency, scalability, and cost.

Responsibilities

• Design, build, and deploy intelligent solutions using modern Machine Learning, Deep Learning, and Generative AI technologies.
• Work across the AI/ML lifecycle, from experimentation and model development to integration and production deployment.
• Collaborate with engineering, product, and data teams to turn complex business challenges into scalable AI-powered solutions.

Benefits

• Working on innovative AI-powered products with real-world scale and impact.
• Building intelligent experiences using modern Machine Learning and Generative AI technologies.
• Collaborating closely with engineering, product, and data teams to solve complex problems.
• Raising the bar for AI engineering standards, reliability, and responsible development practices.
• Exploring emerging AI technologies and continuously improving how intelligent solutions are built and delivered.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed