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AI Engineer
Huzzle.comAI Engineer developing scalable AI and machine learning solutions for Huzzle. Collaborating closely with product and engineering teams to deliver intelligent systems and automation projects.
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy AI/ML models for production environments.
- Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools.
- Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions.
- Fine-tune, evaluate, and improve machine learning models for performance and scalability.
- Collaborate with software engineers and product teams to integrate AI features into existing platforms.
- Work with structured and unstructured datasets for training and inference pipelines.
- Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems.
- Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency.
- Stay updated with the latest advancements in AI, machine learning, and automation technologies.
- Maintain documentation for AI models, systems, and workflows.
Requirements
What you’ll need- 3+ years of experience in AI engineering, machine learning, or related software engineering roles.
- Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
- Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems.
- Experience deploying machine learning models into production environments.
- Familiarity with vector databases, embeddings, and RAG architectures.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Excellent problem-solving and analytical skills.
- Strong communication skills and ability to work in a remote, collaborative environment.
Benefits
Comp & perks- 💰 Competitive salary based on experience and location
- 🌎 Fully remote role with flexible work environment
- 🚀 Work on cutting-edge AI automation projects with real business impact
- 📈 Strong growth opportunity into senior AI / systems roles
- 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design
- 🤝 Direct collaboration with a fast-moving, high-performance team
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI engineeringmachine learningPythonTensorFlowPyTorchScikit-learnLangChainOpenAI APIsNLPdata structures
Soft Skills
problem-solvinganalytical skillscommunicationcollaboration