Applied AI Engineer

Applied AI Engineer

Position: Applied AI Engineer

Experience Required: 7+ Years
Employment Type: Full Time
Location: Remote – USA

About the Role

We are looking for an experienced Applied AI Engineer to design, develop, and deploy AI-powered solutions that solve complex business problems. The ideal candidate will have strong hands-on experience building production-grade AI applications, working with Large Language Models (LLMs), machine learning frameworks, data pipelines, and cloud-based AI platforms.

This role requires a highly skilled engineer who can bridge the gap between AI research and real-world implementation by developing scalable, reliable, and impactful AI solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions that address business and technical challenges.
• Build and integrate AI applications using Large Language Models (LLMs), Generative AI, and Machine Learning techniques.
• Develop AI-powered workflows, automation solutions, intelligent agents, and decision-support systems.
• Work with data scientists, software engineers, and product teams to translate AI concepts into production-ready applications.
• Fine-tune, evaluate, and optimize machine learning and LLM-based models.
• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources.
• Develop scalable AI services and APIs using modern software engineering practices.
• Build data pipelines for AI model training, evaluation, and inference.
• Conduct model performance analysis, testing, and continuous improvement.
• Ensure AI solutions meet requirements around scalability, security, reliability, and responsible AI practices.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Required Qualifications

• 7+ years of experience in software engineering, machine learning engineering, or applied AI development.
• Strong experience building and deploying AI/ML applications in production environments.
• Hands-on experience with Generative AI, Large Language Models (LLMs), and AI application development.
• Strong programming skills in Python and experience with modern software development practices.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Experience working with LLM platforms and APIs such as OpenAI, Azure OpenAI, Anthropic, or similar technologies.
• Strong understanding of NLP concepts, embeddings, prompt engineering, and model evaluation.
• Experience implementing RAG architectures using frameworks such as LangChain, LlamaIndex, or similar tools.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or equivalent.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of software engineering principles, APIs, microservices, and system design.

Preferred Qualifications

• Experience building AI agents and autonomous workflows.
• Experience with MLOps practices, CI/CD pipelines, and model deployment frameworks.
• Experience with Docker, Kubernetes, and cloud-native application development.
• Knowledge of data engineering concepts and distributed systems.
• Experience working with enterprise AI adoption and digital transformation initiatives.
• Understanding of AI governance, security, and responsible AI practices.

Technical Skills

Programming:

• Python, SQL, Java, or similar programming languages

AI/ML:

• Generative AI
• Large Language Models (LLMs)
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Prompt Engineering
• RAG Architecture
• AI Agents

Frameworks & Tools:

• PyTorch / TensorFlow
• LangChain / LlamaIndex
• Vector Databases
• MLflow or similar MLOps tools

Cloud & DevOps:

• AWS / Azure / Google Cloud Platform
• Docker
• Kubernetes
• CI/CD

Soft Skills

• Strong analytical and problem-solving skills.
• Ability to work independently in a remote environment.
• Excellent communication and collaboration skills.
• Ability to explain complex AI concepts to technical and non-technical stakeholders.
• Strong ownership mindset with a focus on delivering business impact.

Contract Details

• Employment Type: Contract
• Location: Remote within Canada
• Experience Level: Senior / Lead Level
• Engagement: Long-term contract opportunity