You will architect and build end-to-end Generative AI applications, including document intelligence and RAG pipelines, on Google Cloud. Additionally, you will collaborate with clients to translate business needs into scalable, high-performance AI architectures while applying MLOps best practices.
Egen
14 Remote Job Openings at Egen
Design and build scalable batch and streaming data pipelines and API-driven integrations on GCP. Focus on delivering end-to-end data solutions and optimizing performance, specifically within the healthcare domain.
Design and build full-stack applications and services that integrate AI/ML insights for end users. Develop backend services in Python and create high-performance front-end interfaces while ensuring cloud-native scalability.
The Pre-Sales Architect designs bespoke technical solutions and conducts product demonstrations to drive revenue growth. The role balances pre-sales activities with strategic delivery, spending 50% of the time ensuring successful implementation for key accounts.
Set the technical direction and architecture for complex Generative AI and agentic systems while remaining hands-on in development. Partner with client leadership to translate business strategies into scalable, production-ready AI solutions.
Lead the full lifecycle of Generative AI features, focusing on document intelligence and RAG pipelines from prototype to production. Optimize LLM inference and training performance to maximize throughput and minimize latency on GPU clusters.
As a Lead Cloud Engineer, you will lead the implementation and operationalization of cloud solutions, ensuring high-quality delivery throughout the project lifecycle. You will also design, deploy, and manage scalable cloud infrastructure to support business and application requirements.
Lead high-impact organizational transformations by designing and implementing change management strategies for AI and cloud adoption. Act as a strategic advisor to executives and build champion networks to ensure the successful integration of agentic work paradigms.
Architect and build modern, cloud-native data platforms on Google Cloud using BigQuery as the analytical backbone. Lead the design of unified batch and streaming pipelines while mentoring engineers and establishing data governance practices.
Act as a technical advisor to define enterprise-wide cloud strategies and lead the implementation of large-scale solutions on Google Cloud. Oversee cloud governance, cost optimization, and the mentorship of senior cloud engineers.
The Client Partner will take ownership of the full sales lifecycle and develop strategic account plans while managing relationships with government agencies and educational institutions. They will also collaborate with delivery teams to scope service projects and work with marketing to enhance brand awareness.
The Client Partner will maintain deep knowledge of Egen solutions while achieving individual sales objectives, serving as the primary trusted contact for customers regarding Egen services. This role involves leading project scoping, drafting statements of work, and building strong relationships with both customers and channel partners to drive mutual success and account growth.
The Senior AI Engineer will lead Generative AI initiatives, taking features like document intelligence and RAG pipelines from prototype to scalable production services. This involves architecting end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud.
As a Delivery Lead, you will partner with customers to build relationships and manage project delivery from planning to execution. You will also coach teams in agile practices and ensure effective communication with stakeholders.