Careers

AI Engineer

Job Description:

Location: Remote
Employment Type: Full-time
Experience Level: 3-4 Years of experience

About the Role

We are looking for a highly skilled AI Engineer to join our team. The ideal candidate will have hands-on experience in designing, developing, and deploying AI-powered solutions across diverse domains such as natural language processing, computer vision, and machine learning. You will collaborate with cross-functional teams to build intelligent systems that solve real business problems and deliver measurable ROI.

Responsibilities

  • Design, develop, and deploy machine learning and deep learning models for production.

  • Work with large datasets to preprocess, clean, and transform data for training and inference.

  • Build scalable APIs and pipelines to integrate AI models into web, mobile, and cloud applications.

  • Optimize models for efficiency, accuracy, and performance across different environments.

  • Research and experiment with new AI techniques, frameworks, and tools.

  • Collaborate with product, engineering, and business teams to define AI use cases and deliver solutions.

  • Monitor, maintain, and retrain deployed models to ensure long-term performance.

  • Implement security, compliance, and ethical AI practices in all workflows.

Required Skills & Qualifications

  • Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Data Science, or related field.

  • Strong proficiency in Python (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).

  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow).

  • Solid understanding of data structures, algorithms, and distributed systems.

  • Hands-on experience with NLP, computer vision, generative AI, or reinforcement learning.

  • Familiarity with APIs, microservices, and backend integration.

  • Strong problem-solving and analytical skills.

Preferred Skills (Nice to Have)

  • Experience with LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), or LangChain.

  • Knowledge of prompt engineering and fine-tuning generative models.

  • Familiarity with vector databases (Pinecone, Weaviate, FAISS).

  • Exposure to DevOps/MLOps best practices for continuous deployment of models.

  • Contribution to open-source AI/ML libraries or projects.

 

What We Offer

  • Competitive salary and performance-based bonuses.

  • Opportunity to work on cutting-edge AI projects with real-world impact.

  • Flexible work environment with remote-first options.

  • Access to learning resources, conferences, and upskilling programs.

  • A collaborative and innovative culture that values growth and creativity.

AI Engineer

Apply Now
100+
Projects Completed.
50+
Global Clients Trust Byteonic.
100+
Projects Completed.
50+
Global Clients Trust Byteonic.