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Mid-Level / Senior AI Engineer

Remote
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AI Summary

We're hiring an innovative AI Engineer to build, deploy, and optimize cutting-edge AI solutions for our products and services. The role involves designing and developing machine learning and generative AI models, integrating AI services into web applications and cloud platforms, and implementing MLOps best practices. Candidates must have 3-7 years of AI/ML experience, strong Python proficiency, and expertise in LLMs, RAG, and cloud deployment.

Key Highlights
Build and deploy machine learning and generative AI models in production
Develop AI-powered applications using LLMs, RAG, and AI agents
Implement MLOps best practices for model versioning and lifecycle management
Key Responsibilities
Design, develop, and deploy machine learning and generative AI models in production environments
Build AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents
Develop scalable data pipelines for model training, inference, and evaluation
Fine-tune, optimize, and monitor AI models to improve accuracy, efficiency, and reliability
Integrate AI services into web applications, APIs, and cloud-based platforms
Collaborate with product managers, software engineers, and data scientists to deliver AI-driven features
Implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management
Ensure AI systems meet security, privacy, and ethical AI standards
Research and evaluate emerging AI technologies and recommend innovative solutions
Document AI architectures, workflows, and technical implementations
Technical Skills Required
Python PyTorch TensorFlow AWS
Benefits & Perks
Fully remote work within the United States
Competitive compensation
Equity opportunities

Job Description


📊 We’re Hiring: AI Engineer

📍 Remote (United States)

🕒 Full-Time

💼 Level: Mid-Level / Senior

We’re looking for an innovative and experienced AI Engineer to build, deploy, and optimize cutting-edge AI solutions that power our products and services. You’ll collaborate with cross-functional teams to develop scalable machine learning systems and generative AI applications that solve complex business challenges.

🎯 Key Responsibilities

• Design, develop, and deploy machine learning and generative AI models in production environments

• Build AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents

• Develop scalable data pipelines for model training, inference, and evaluation

• Fine-tune, optimize, and monitor AI models to improve accuracy, efficiency, and reliability

• Integrate AI services into web applications, APIs, and cloud-based platforms

• Collaborate with product managers, software engineers, and data scientists to deliver AI-driven features

• Implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management

• Ensure AI systems meet security, privacy, and ethical AI standards

• Research and evaluate emerging AI technologies and recommend innovative solutions

• Document AI architectures, workflows, and technical implementations

✅ Requirements

• 3–7 years of experience in AI/ML engineering, machine learning, or software engineering

• Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX

• Experience building applications with LLMs and frameworks such as LangChain, LlamaIndex, CrewAI, or similar

• Solid understanding of deep learning, NLP, prompt engineering, vector databases, and RAG architectures

• Experience deploying AI solutions on AWS, Azure, or Google Cloud Platform (GCP)

• Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools

• Experience with SQL, NoSQL databases, and data engineering concepts

• Strong analytical, problem-solving, and communication skills

• Ability to work independently and collaborate effectively in a remote environment

• Fluent in English

• Authorized to work full-time in the United States

🌟 What We Offer

• Fully remote work within the United States

• Opportunity to build innovative AI products using the latest technologies

• Collaborative and forward-thinking engineering culture

• Career growth, mentorship, and continuous learning opportunities

  • • Competitive compensation, equity opportunities (where applicable), and comprehensive benefits package

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