About the Company
CovenantHR is a recruiting and talent solutions firm specializing in Cybersecurity, Cloud, Artificial Intelligence, Data, Software Engineering, IT Infrastructure, Healthcare, and other specialized industries. The company combines experienced recruiters with its proprietary Scout™ AI-powered recruiting platform to deliver contract, direct-hire, and global talent solutions.
CovenantHR has been recognized by HR Tech Outlook as a Top 10 Executive Recruitment Service Provider and by CIO Bulletin as one of the 50 Most Innovative Companies to Watch.
About the Role
CovenantHR is seeking an AI/ML Engineer for a contract engagement with a client. This role focuses on building, deploying, and maintaining production-ready AI and machine learning solutions, with an emphasis on generative AI, large language models (LLMs), and retrieval-augmented generation (RAG).
You’ll use Python, machine learning frameworks, cloud platforms, and AI application development tools to build scalable solutions, integrate models into production systems, and improve application performance and reliability. The role also involves implementing MLOps and LLMOps practices, collaborating with cross-functional teams, and evaluating emerging AI technologies.
This is a fully remote opportunity for candidates located within the United States who are authorized to work in the country.
Key Responsibilities
•Design, develop, test, and deploy production-ready AI/ML models and applications.
•Build generative AI and LLM-powered solutions using RAG pipelines, embeddings, vector search, and prompt-based applications.
•Develop scalable APIs, microservices, backend integrations, and data pipelines to support model training, evaluation, and inference.
•Improve model accuracy, application performance, reliability, and scalability.
•Implement MLOps and LLMOps practices covering deployment, monitoring, versioning, evaluation, and model lifecycle management.
•Collaborate with engineering, data, product, and business teams to translate requirements into production AI solutions.
•Research and evaluate emerging AI technologies, models, frameworks, and development approaches.
•Apply sound software engineering practices to build maintainable, reliable, and scalable AI applications.
Required Qualifications
•Professional experience in production AI/ML engineering, with advanced Python programming skills and strong machine learning fundamentals.
•Hands-on experience with generative AI, LLMs, RAG, embeddings, and vector databases.
•Experience deploying AI/ML solutions on AWS, Microsoft Azure, or Google Cloud Platform (GCP).
•Experience with MLOps or LLMOps, including APIs, model evaluation, monitoring, and production deployment.
•Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
•Experience with AI application frameworks such as LangChain, LlamaIndex, or similar technologies.
•Knowledge of prompt engineering, model fine-tuning, and AI application development.
•Experience developing REST APIs and microservices.
•Familiarity with Docker, CI/CD pipelines, and Git.
•Strong problem-solving skills and the ability to independently manage and deliver technical solutions.
•Authorization to work in the United States.
Preferred Qualifications
•Experience deploying AI solutions at enterprise scale.
•Familiarity with platforms and services such as Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, or Anthropic Claude.
•Experience with AI agents, agentic workflows, and tool-calling capabilities.
•Experience with vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
•Understanding of AI security, responsible AI practices, model governance, and data privacy.
Work Location & Employment Details
•Job title: AI/ML Engineer.
•Employment type: Contract engagement.
•Work arrangement: Fully remote within the United States.
•Work authorization: Must be authorized to work in the U.S.
•Compensation: Not specified in the provided listing.
Equal Employment Opportunity The client is an equal opportunity employer committed to providing employment opportunities without unlawful discrimination.