AI Engineer

Job Description: AI Engineer

Job Title: AI Engineer

Location: 100% Remote

Job Type: Contract

Experience: 5+ Years Preferred

Work Mode: Remote

Job Summary

We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications and intelligent solutions. The ideal candidate will have strong expertise in Python, machine learning, Generative AI, Large Language Models (LLMs), and AI application development. The candidate will work closely with data scientists, software engineers, and business stakeholders to build scalable, production-ready AI solutions.

Key Responsibilities

• Design, develop, and deploy AI and machine learning solutions for business applications.
• Build Generative AI applications using LLMs such as GPT, Claude, or open-source models.
• Develop Retrieval-Augmented Generation (RAG) pipelines using enterprise data sources.
• Implement prompt engineering, embeddings, vector search, and semantic retrieval techniques.
• Develop AI agents and automated workflows to solve complex business problems.
• Build and integrate REST APIs and AI services using Python frameworks such as FastAPI or Flask.
• Work with vector databases such as Pinecone, Weaviate, FAISS, or Chroma.
• Develop and optimize machine learning models using frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Implement data preprocessing, feature engineering, model evaluation, and performance optimization.
• Deploy AI models and applications on cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Implement model monitoring, testing, security, scalability, and responsible AI practices.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Maintain technical documentation and follow software engineering best practices.

Required Skills and Qualifications

• Strong programming experience in Python.
• Hands-on experience developing and deploying AI or machine learning applications.
• Experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
• Knowledge of machine learning algorithms, model evaluation, and data processing.
• Experience with frameworks such as LangChain, LangGraph, or LlamaIndex.
• Familiarity with vector databases, embeddings, and semantic search.
• Experience building REST APIs and integrating AI models into applications.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with Git, Docker, CI/CD, and production deployment practices.
• Strong analytical, debugging, and problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience building production-grade AI agents and multi-agent workflows.
• Knowledge of fine-tuning, model quantization, and inference optimization.
• Experience with MLOps, model monitoring, and automated deployment pipelines.
• Familiarity with Kubernetes and scalable AI infrastructure.
• Experience with enterprise AI security, evaluation frameworks, and guardrails.
• Bachelor’s or Master’s degree in Computer Science, Artificial