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: Full Time / Contract 
Location: Remote USA/Canada
Experience Level: Senior / Lead Level
Engagement: Long-term contract opportunity