AI/ML Integration Specialist

Work Environment & Requirements

• Hybrid/remote work environment with potential on-site requirements based on contract needs
• U.S. citizenship required
• Security clearance may be required based on contract assignment

Equal Employment Opportunity

Required Qualifications

• U.S. citizenship with the ability to obtain and maintain a U.S. Government security clearance.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field.
• Three or more years of experience in software engineering, systems integration, ML engineering, data engineering, or a related discipline.
• Experience integrating REST APIs, SDKs, microservices, and third party platforms.
• Strong programming skills in Python and/or Java, JavaScript, or TypeScript.
• Understanding of machine learning concepts, the model lifecycle, and AI application architecture.
• Experience working with databases, data pipelines, JSON, SQL, and cloud environments.
• Familiarity with Git, CI/CD, testing, logging, monitoring, and production deployment practices.
• Strong analytical, troubleshooting, communication, and problem solving skills.

Preferred Qualifications

• Experience integrating LLMs and generative AI applications using OpenAI, Azure AI, AWS AI/ML, Google Cloud AI, or comparable platforms.
• Knowledge of retrieval augmented generation (RAG), vector databases, embeddings, and semantic search.
• Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
• Familiarity with Docker, Kubernetes, serverless architectures, and cloud native development.
• Experience with MLOps, LLMOps, and model monitoring.
• Knowledge of AI security, governance, privacy, and responsible AI practices.
• Experience integrating AI capabilities with Salesforce, ServiceNow, SAP, Microsoft Dynamics, or similar enterprise platforms.