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GenAI, Sr. Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . GenAI, Sr. Data Engineer. in the . United States. .. 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.. . Accountabilities:. 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.. 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.. . Company Location: United States.