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Senior Agentic AI Engineer

Argentina · Job Posted May 05, 2026
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Job Description

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

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