AI Engineer

We are looking for an AI Engineer to design, develop, and deploy AI-powered applications and machine learning solutions. The role involves building LLM-based features, integrating AI models into production systems, and collaborating with software, data, and product teams to deliver scalable AI products.

Key Responsibilities

• Design, develop, and deploy AI/ML applications for production environments.

• Build and integrate Large Language Model (LLM) solutions using APIs and open-source models.

• Develop RAG (Retrieval-Augmented Generation) pipelines with vector databases.

• Create and optimize prompts, AI agents, and workflow automation.

• Fine-tune and evaluate machine learning and generative AI models.

• Build scalable REST APIs and integrate AI services with existing applications.

• Monitor model performance, improve accuracy, and optimize inference costs.

• Collaborate with cross-functional teams to translate business requirements into AI solutions.

Requirements

• Bachelor's degree in Computer Science, AI, Data Science, or a related field.

• 3+ years of experience in AI, Machine Learning, or Generative AI development.

• Strong proficiency in Python.

• Experience with LLM frameworks (LangChain, LlamaIndex, or similar).

• Hands-on experience with OpenAI, Azure OpenAI, Claude, or open-source LLMs.

• Knowledge of RAG, embeddings, and vector databases (Pinecone, Milvus, FAISS, ChromaDB).

• Experience with PyTorch or TensorFlow.

• Familiarity with Docker, Git, CI/CD, and cloud platforms (AWS, Azure, or GCP).

• Good understanding of API development and system integration.

Preferred Skills

• Experience with AI agents and multi-agent architectures.

• Knowledge of MLOps tools (MLflow, Weights & Biases, Kubeflow).

• Experience deploying models on Kubernetes or cloud-native environments.

• Understanding of NLP, computer vision, or speech AI is an advantage.