Software Engineer II + AI/ML OPS Engineer

We are seeking a talented Software Engineer II- AI/ML Ops Engineer to contribute to our machine learning operations (ML Ops), large language model (LLM) and agentic AI integration, Databricks administration, data lake management, and cloud platform projects. The ideal candidate will help design, implement, and optimize ML pipelines, support cloud infrastructure (GCP & Azure), participate in prompt engineering for generative and agentic AI, contribute to CI/CD practices, and assist with Databricks platform governance and data lake operations. You will work closely with engineers, data scientists, and product managers to deliver innovative AI solutions.

Location: Atlanta, GA; Work Schedule: Hybrid (100% onsite during the first 90 days).

Responsibilities

• Design and deploy API in Azure and GCP using multiple programming languages.

• Manage production systems and data pipelines in the production environment.

• Provide on‑call support for any production issue for troubleshooting.

• Work with data engineering and API development teams to deploy releases on time.

• Automate tasks to improve developer experience.

• Manage deployment in Azure and GCP cloud environments.

• Partner with the security team to remediate security issues in infrastructure.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 3 years of software engineering experience, with 2 years in ML Ops, agentic AI, Databricks, data lake, or cloud platforms.

• Experience with ML Ops tools (MLflow, Kubeflow, Vertex AI, Azure ML, etc.).

• Exposure to LLMs (OpenAI, Google Gemini, Azure OpenAI, etc.), agentic AI systems, and prompt engineering.

• Familiarity with Databricks platform administration, deployment, and troubleshooting.

• Experience with data lake solutions (Azure Data Lake, GCP BigLake, etc.).

• Proficiency in Python; experience with other languages is a plus.

• Working knowledge of GCP and Azure cloud services.

• Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins, etc.).

• Understanding of containerization (Docker, Kubernetes).

• Experience with data engineering, ETL, or big data technologies.

• Good communication and problem‑solving skills.

Preferred Qualifications

• Experience working as DevOps/SRE or ML Ops.

• Familiarity with MLOps for LLMs, agentic AI, or generative AI.

• Contributions to open‑source projects.

• Certifications in GCP, Azure, Databricks, Data Lake, or ML Ops.

US Person Requirement

Due to compliance with U.S. export control laws and regulations, the candidate must be a U.S. Person, defined as a U.S. citizen, a U.S. permanent resident, or having protected status in the U.S. under asylum or refugee status or having the ability to obtain an export authorization.

Benefits

In addition to a competitive salary, we offer a comprehensive benefits package that includes employer‑subsidized Medical, Dental, Vision, and Life Insurance; Short‑Term and Long‑Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave; Paid Time Off (vacation, personal business, sick time, and parental leave); and 12 Paid Holidays.