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AI Engineer
Huzzle.comAI Engineer at Huzzle designing and deploying AI-driven machine learning solutions. Collaborate with teams to enhance automation and operational efficiency in AI technology.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Design, develop, and deploy AI and machine learning models for real-world applications.
- Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs.
- Develop scalable APIs and backend services for AI applications.
- Fine-tune machine learning models and improve model performance.
- Work with structured and unstructured datasets for training and inference.
- Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
- Integrate AI solutions into web platforms, CRMs, and business systems.
- Monitor AI model performance, reliability, and scalability in production.
- Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
- Stay updated on emerging AI technologies, frameworks, and best practices.
Requirements
What you’ll need- 3+ years of experience in AI engineering, machine learning, or software engineering.
- Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
- Experience working with LLMs, generative AI tools, and prompt engineering.
- Familiarity with vector databases, embeddings, and RAG architectures.
- Knowledge of cloud platforms such as AWS, GCP, or Azure.
- Experience building REST APIs and scalable backend systems.
- Understanding of MLOps, model deployment, and monitoring workflows.
- Strong problem-solving and analytical thinking skills.
- Excellent communication and collaboration abilities.
- Experience working in remote or distributed teams is a plus.
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 learningPythonTensorFlowPyTorchLangChainHugging FaceREST APIsMLOpsprompt engineering
Soft Skills
problem-solvinganalytical thinkingcommunicationcollaboration