12 days ago
Responsibilities
- Design and build agentic AI systems for conversational workflows.
- Develop a chat-based seller assistant that integrates enterprise data.
- Answer seller questions using enterprise data.
- Provide insights on ordering, pricing, and customer behavior.
- Generate pre-visit one-pagers to guide sales conversations.
- Integrate large language models with internal data sources and APIs.
- Apply prompt engineering and context engineering techniques.
- Build and evolve the platform using LangChain and LangGraph.
- Design persistence and data access layers using Mongo or other data stores.
- Collaborate closely with product, analytics, and engineering partners.
- Serve as a champion for modern AI coding assistant tools within the team.
- Help define standards and best practices as the AI capability scales.
Requirements
- Experience as a full-stack or backend engineer building production systems.
- Strong foundation in software engineering fundamentals (APIs, data modeling, system design).
- Familiarity with databases, data stores, and data modeling concepts.
- Hands-on experience working with LLMs, including prompt design and evaluation.
- Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms).
- Comfort working in early-stage, ambiguous problem spaces.
- Ability to communicate clearly with technical and non-technical stakeholders.
- Willingness to work on a Mac-based development environment.
- Experience using AI-assisted development tools as part of daily workflow.
- Advanced English skills.
Benefits
- Flexibility, with remote and hybrid work options.
- Career advancement, with international mobility and professional development programs.
- Learning and development, with access to cutting-edge tools, training and industry experts.
- Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts.