Solutions Engineer

August 21

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unstructured.io

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We get your data LLM-ready. #ETLforLLMs

nlp • natural language processer • data • unstructured • LLM

11 - 50

Description

• Lead technical interactions with Unstructured’s customers, enabling them to achieve business and mission objectives with our products and services. • Ensure delivery excellence and forge strong relationships with our users, deploying our tools in virtual private clouds and on-premises. • Become an expert at using the Unstructured API and Platform, building and presenting reference architectures, technical guides, and onboarding material for users. • Provide top-notch support and guidance on the deployment, integration, and/or use of our AI-enabling products. • Help grow our deployments through technical support to pre-sales activities (giving demos and workshops, building prototypes, etc.). • Partner with product managers and engineering leads to identify and prioritize feature development based on customer feedback and market signal. • Deep expertise in Gen AI architectures, especially Retrieval Augmented Generation (RAG) and Knowledge Graphs, and proactively share your knowledge with colleagues and customers.

Requirements

• 3+ years of experience as Solutions Engineer, Sales Engineer, or Solutions Architect • 3+ years of experience in software engineering or DevOps. • Experience leading successful, customer-facing engagements, including deployments directly in customers’ environments. • Ability to write and maintain scripts in Python, especially for automation, API interactions, and data manipulation. • Professional experience with deployment technologies, such as Docker, Kubernetes, and tools of major cloud service providers (Azure/AWS/GCP). • Experience with CI/CD pipelines, version control systems (e.g., Git), and infrastructure as code (IaC) tools. • Familiarity with security best practices, including securing containerized applications and resolving vulnerabilities. • Excellent communications skills, including the ability to facilitate effective collaboration across teams and articulate technical solutions and value propositions to non-technical stakeholders. • Comfort working in a fast-paced, fluid environment, operating effectively both with relative independence and as a member of small teams. • Experience with or interest in building RAG applications.

Benefits

• Opportunity to lead a dynamic team and work on cutting-edge machine learning projects. • Collaborative and innovative work environment with a focus on learning and growth. • Impactful role in shaping the company's technical direction and driving innovation in unstructured data processing. • Competitive compensation package, including benefits and stock options.