Senior MLOps/LLMOps Engineer, Development

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and construct automated deployment pipelines tailored for generative AI applications.

• Ensure safe promotion of updates across various environments (Development, Testing, Production).

• Deploy and oversee the infrastructure essential for ongoing AI evaluation.

• Instrument AI applications to gather comprehensive operational metrics.

• Implement version control for prompts and model configurations.

• Integrate input/output guardrails within the application workflow to automatically prevent prompt injection attacks, PII leakage, or irrelevant responses.

• Continuously monitor the financial impact of AI solutions.

⛳️ Requirements

• Bachelor’s degree in computer science, information technology, engineering, or equivalent hands-on experience.

• Databricks Certified: Machine Learning Professional.

• Microsoft Certified: Azure DevOps Engineer Expert (AZ-400).

• DeepLearning.AI: Machine Learning Engineering for Production (MLOps).

• Over 4 years of experience in DevOps, MLOps, or Site Reliability Engineering (SRE), with specific expertise in generative AI deployments in the past 1-2 years.

• Extensive experience in creating CI/CD pipelines utilizing enterprise tools (Azure DevOps, GitHub Actions, GitLab CI).

• Practical experience with LLMOps tools and frameworks (e.g., MLflow, LangSmith, PromptFlow, Arize, or similar observability platforms).

• Strong skills in Python scripting and experience in containerizing machine learning or API workloads (Docker, Kubernetes).

• Knowledge of API ecosystems for frontier models (OpenAI, Anthropic, Google Vertex AI) and multi-agent frameworks (LangChain, LangGraph).

• Familiarity with cloud infrastructure (Azure, AWS) and principles of infrastructure-as-code.

• Passionate about automation.

• Financially aware.

• Analytical in approach to defense.

🏝️ Benefits

• Competitive salary and benefits package.

• Flexibility to balance personal and professional commitments.