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As an Agentic AI Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring solid senior-level experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: A curious problem solver who challenges the status quo, a collaborator who values teamwork and knowledge-sharing, excited by the intersection of technology, creativity and data, experienced in Agile methodologies and consulting (a plus). We are building a new AI capability for our client focused on designing and delivering agentic AI systems that materially improve seller productivity and decision-making. The first major initiative is a chat-based seller assistant that integrates enterprise data, surfaces insights, and guides sellers before and during customer interactions—reducing time spent in spreadsheets and increasing the quality of face-to-face sales conversations. This role is ideal for an engineer excited by early-stage AI system design, ambiguity, and hands-on experimentation with large language models.
Job Responsibility:
Design and build agentic AI systems that facilitate conversational workflows for seller enablement
Develop a chat-based seller assistant that answers seller questions using enterprise data, provides insights on ordering, pricing, and customer behavior, and generates pre-visit one-pagers to guide sales conversations
Integrate large language models (e.g., Claude, ChatGPT) with internal data sources and APIs
Apply prompt engineering, context engineering, and agent orchestration techniques to improve reliability and usefulness
Build and evolve the platform using LangChain and LangGraph (initially in Python)
Design persistence and data access layers using Mongo or other data stores
Collaborate closely with product, analytics, and engineering partners to shape both technical direction and use cases
Serve as a champion for modern AI coding assistant tools (e.g., Cursor) within the team
Help define standards and best practices as this 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 (via OpenAI, Anthropic, or similar), including prompt design and evaluation
Experience integrating applications with enterprise data sources (APIs, databases, analytics platforms)
Comfort working in early-stage, ambiguous problem spaces where patterns are still emerging
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 (Cursor, Copilot, etc.) as part of daily workflow
Advanced English skills
Nice to have:
Experience building or experimenting with agentic AI systems or multi-step LLM workflows
Familiarity with LangChain, LangGraph, or similar orchestration frameworks
Python experience (Node.js / TypeScript also valued)
Experience with MongoDB or similar NoSQL data stores
Experience with enterprise platforms such as Salesforce, Snowflake, or similar
Exposure to Google AI / Google Cloud services
What we offer:
Flexibility, with remote and hybrid work options (country-dependent)
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