Associate Solutions Engineer

About the role

We are seeking an Associate Solutions Engineer to join our Solutions Engineering team. You will work alongside senior engineers embedded directly with clients to design, build, and ship AI-native solutions from agentic systems and knowledge infrastructure to client-facing prototypes and integrations.

Responsibilities

• Design and build agentic systems including multi-step reasoning loops, tool-use patterns, and orchestration layers that solve real business problems and improve on their own signal over time
• Write code with agents as a first-class primitive. You will code agents, code with agents, and build systems where agentic patterns are native to how the product works
• Build and maintain knowledge infrastructure including structured and unstructured databases, embedding pipelines, and retrieval systems that turn accumulated organizational expertise into queryable, compounding capital
• Evaluate model performance against real business outcomes, building feedback systems that measure what actually matters to the organization rather than relying on external benchmarks
• Work cross-functionally with product, sales, and client-facing teams to understand requirements, translate them into build priorities, and close the loop between customer feedback and what ships
• Conduct business analysis to surface what teams actually need, map that against what is technically possible, and help shape the product roadmap accordingly
• Prototype fast and iterate in the open, leaving clients with systems they own and control
• Help every client build a frontier ecosystem, not just a frontier integration, so value compounds inside their organization rather than concentrating in a handful of general models
• Build and maintain internal AI tooling and documentation as the team and client base scales
• Foster collaboration across engineering, account management, and sales

Qualifications

• Bachelor's degree in Computer Science required
• Up to 2 years in a technical or solutions-adjacent role, internships, co-ops, and independent project work count
• Foundational Python or scripting skills, comfortable reading, modifying, and running code independently
• Familiarity with databases including SQL, vector stores, or document databases and how data moves through a system
• Comfort working with APIs and structured data formats such as JSON and CSV
• Strong communication skills: verbal, written, and able to explain technical concepts to non-technical audiences
• Able to manage multiple workstreams, prioritize under pressure, and stay level-headed in front of clients
• Comfortable being forward deployed, working directly inside client environments and adapting quickly to what you find there
• Demonstrated initiative, you learn new tools fast and do not wait to be told what to build next
• Flexibility in work hours to support international clients and global teams

Bonus Points

• Experience building with AI APIs including Claude, OpenAI, or similar
• Hands-on work with agent frameworks, orchestration tools, or multi-step reasoning patterns such as LangChain, LlamaIndex, or similar open source tooling
• Familiarity with vector databases, embedding pipelines, or RAG architectures
• Experience working with open source AI tools, models, or frameworks and contributing to or building on top of the open source ecosystem
• Background in data analysis, AI model evaluation, or enterprise SaaS
• Comfort with cloud infrastructure and how AI systems are deployed and maintained at scale