Associate Solutions Engineer

Role Description

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.

This is a forward deployed role. You will be in the room when problems are being defined and at the keyboard when they are being solved. You will build things that did not exist before:

• Agent loops where human judgment and AI capability compound over time
• Databases that make institutional knowledge queryable
• Infrastructure that gets smarter with every use

The goal is not to pick the best model but to build the ecosystem around it where every client owns their learning loop and their knowledge compounds. Strong mentorship and immediate project ownership from day one.

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
• Build and maintain knowledge infrastructure including structured and unstructured databases, embedding pipelines, and retrieval systems
• Evaluate model performance against real business outcomes
• Work cross-functionally with product, sales, and client-facing teams
• Conduct business analysis to surface what teams actually need
• Prototype fast and iterate in the open
• Help every client build a frontier ecosystem
• Identify leverage points for durable compounding outcomes
• Build and maintain internal AI tooling and documentation
• 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
• Familiarity with databases including SQL, vector stores, or document databases
• 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
• Ability to manage multiple workstreams and prioritize under pressure
• Comfortable being forward deployed, working directly inside client environments
• Demonstrated initiative and ability to learn new tools fast
• 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
• Familiarity with vector databases, embedding pipelines, or RAG architectures
• Experience working with open source AI tools, models, or frameworks
• Background in data analysis, AI model evaluation, or enterprise SaaS
• Comfort with cloud infrastructure and how AI systems are deployed and maintained at scale
• You have shipped something agentic and watched it improve on its own signal

Benefits

• Competitive base salary commensurate with experience
• Comprehensive benefits including health, dental, and vision
• Fully remote with flexible scheduling
• Mentorship from senior engineers working at the frontier of applied AI
• Immediate ownership, you will ship real things fast
• A front-row seat to what AI-native enterprise infrastructure actually looks like in practice