GenAI, Sr. Data Engineer (Remote - US)

Jobgether

122d

About The Position

As a Senior Data Engineer specializing in Generative AI orchestration, you will be responsible for designing, integrating, and managing large-scale AI workflows that connect multiple models, APIs, and services. You will play a key role in enabling the automation and scalability of advanced AI-driven systems while collaborating with data scientists, engineers, and business teams. This role offers the opportunity to shape next-generation AI infrastructure, ensuring seamless performance, reliability, and innovation. You’ll thrive in a dynamic, forward-thinking environment that values creativity, collaboration, and technical excellence.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field (or equivalent experience).
• 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration (experience with GenAI/LLM orchestration is a strong plus).
• Proficiency with orchestration tools such as Airflow, Prefect, LangChain, Dagster, or Kubeflow.
• Strong programming skills in Python for building, automating, and integrating AI workflows.
• Hands-on experience with cloud environments (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
• Understanding of Generative AI model deployment, including LLMs and diffusion models.
• Strong analytical and problem-solving abilities with a focus on performance optimization.
• Excellent communication skills and a collaborative mindset to work effectively across technical and non-technical teams.
• Ability to balance innovation with reliability, security, and compliance standards.

Responsibilities

• Design and implement orchestration pipelines that integrate multiple Generative AI models, APIs, and tools into cohesive end-to-end workflows.
• Collaborate closely with data scientists, engineers, and business stakeholders to define AI use cases and translate them into automated solutions.
• Optimize system performance, scalability, and reliability through effective orchestration and monitoring strategies.
• Integrate AI orchestration platforms with cloud infrastructures and enterprise systems.
• Establish and document best practices for versioning, lifecycle management, and performance tracking of AI systems.
• Continuously research and implement improvements in orchestration frameworks, LLM performance, and automation tools.
• Maintain detailed documentation of technical architectures, orchestration processes, and deployment standards for knowledge sharing.

Benefits

• Competitive base salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible remote work policy and work-life balance initiatives.
• Paid parental leave, vacation, and personal time off.
• Professional development programs and access to cutting-edge AI tools.
• Inclusive culture that values teamwork, diversity, and continuous learning.
• Opportunities to contribute to high-impact, large-scale AI initiatives across global teams.

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees