AI Trainer

We are looking for an AI Engineer to design, build, and deploy intelligent applications powered by machine learning and generative AI. You will work closely with engineering, product, and data teams to turn business requirements into reliable, production-ready AI solutions.

Responsibilities

• Design, develop, and deploy AI and machine learning solutions into production.
• Build applications using LLMs, generative AI, NLP, and machine learning technologies.
• Develop and optimize prompts, RAG pipelines, embeddings, and AI-powered workflows.
• Integrate AI models and services through APIs and existing applications.
• Build data pipelines for training, evaluation, and inference.
• Evaluate AI systems for accuracy, reliability, latency, and cost.
• Implement monitoring, testing, and safeguards for production AI systems.
• Experiment with new models, frameworks, and AI technologies and assess their practical value.
• Collaborate with software engineers, data scientists, and product teams throughout the development lifecycle.
• Document technical designs, experiments, and deployment processes.

Requirements

• Bachelor's degree in Computer Science, AI, Machine Learning, Data Science, or a related field, or equivalent practical experience.
• 2+ years of experience in software engineering, machine learning, or AI engineering.
• Strong proficiency in Python.
• Hands-on experience with LLMs and generative AI applications.
• Experience working with frameworks or APIs such as OpenAI, Anthropic, Hugging Face, LangChain, or LlamaIndex.
• Understanding of RAG, embeddings, vector databases, prompt engineering, and model evaluation.
• Experience building and consuming REST APIs.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Good understanding of software engineering practices, Git, testing, and CI/CD.
• Strong analytical and problem-solving skills.

Nice to Have

Experience with PyTorch or TensorFlow, fine-tuning or adapting LLMs, MLOps, Docker/Kubernetes, vector databases, agentic AI systems, and deploying scalable AI services would be an advantage.