Intellectt Inc

AI Engineer / AI Engineering Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer / AI Engineering Specialist, remote, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, Prompt Engineering, and AI guardrails. Experience with LLM frameworks and cloud platforms is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Databases #Scala #REST API #Cloud #Microservices #AI (Artificial Intelligence) #REST (Representational State Transfer) #Security #Langchain #Deployment #Data Science #ML (Machine Learning) #Python #Compliance
Role description
Role: AI Engineer / AI Engineering Specialist Location: Remote Job Summary We are seeking a highly skilled AI Engineer with strong expertise in Python, Prompt Engineering, Guardrails, and Evolv AI platforms. The ideal candidate will be responsible for designing, developing, and optimizing AI-driven solutions, including LLM-based applications, prompt frameworks, and AI safety guardrails. Key Responsibilities • Design and develop AI/ML and Generative AI solutions using Python. • Build and optimize LLM-based applications with effective Prompt Engineering techniques. • Implement AI guardrails and safety frameworks to ensure responsible AI usage. • Work with Evolv AI or similar experimentation platforms to test and optimize AI models and workflows. • Develop APIs and integrate AI models into enterprise applications. • Collaborate with data scientists, product teams, and engineering teams to deliver scalable AI solutions. • Monitor model performance and continuously improve prompts, workflows, and model outputs. • Implement best practices for AI governance, security, and compliance. Required Skills • Strong experience in Python development. • Hands-on experience with Prompt Engineering for LLMs (GPT, Claude, etc.). • Experience implementing AI Guardrails, model safety, and governance frameworks. • Familiarity with Evolv AI or experimentation/optimization platforms. • Experience working with LLM frameworks such as LangChain, LlamaIndex, or similar. • Knowledge of REST APIs, microservices, and cloud platforms. • Strong problem-solving and analytical skills. Preferred Qualifications • Experience with OpenAI, Anthropic, or similar LLM APIs. • Exposure to vector databases (Pinecone, FAISS, Weaviate). • Experience building RAG (Retrieval-Augmented Generation) pipelines. • Familiarity with MLOps or AI deployment pipelines.