Intervalor

Tech Lead – Generative AI, Conversational Agents

Intervalor

full-time

Posted on:

Location Type: Hybrid

Location: Osasco • Brasil

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Job Level

Senior

Tech Stack

Python

About the role

  • Technical Project Leadership: Take technical ownership of new projects, guiding implementation from start to finish based on the playbooks of Mutant’s IAM framework.
  • Architecture and Development: Design solutions, configure agents, implement integrations (APIs/Webhooks) and work directly on Prompt Engineering and Context Engineering (RAG, etc.).
  • End-to-End Lifecycle Management: Lead specification, design, quality testing (LLM QA), deployment and post-launch performance monitoring of agents.
  • Client Interaction: Conduct technical meetings with end clients to gather requirements, present solutions, align expectations and troubleshoot.
  • Team Leadership: Provide technical guidance to specialists assigned to the project/operation, ensuring technical cohesion and smooth delivery.
  • AI Productivity: Intensively use Artificial Intelligence tools in day-to-day work to scale personal productivity, automate repetitive tasks and accelerate development.

Requirements

  • Proven experience with Generative AI / LLM (Large Language Model) projects applied to conversational solutions (text and voice).
  • Expertise in Prompt Engineering and Context Engineering (RAG architectures - Retrieval-Augmented Generation, embeddings, vector databases).
  • Ability to code for integrations and automations (e.g., Python, MCP, A2A, REST APIs, JSON).
  • Experience in testing methodologies, monitoring and evaluating language model performance (identifying hallucinations, latency, success rate).
  • Deep understanding of fundamental concepts of Generative AI and its mathematical/statistical limitations.
  • Behavioral Skills (Soft Skills):
  • Assertive Communication: Ability to translate technical complexity for business clients and vice versa.
  • Autonomy and Self-Management: Self-starter profile, able to navigate ambiguous scenarios and independently seek solutions.
  • Hands-on and Lead-by-Example Leadership: Ease in moving between strategic architectural vision and tactical technical execution.
  • Product/Journey Perspective: Empathy to understand the end user in critical journeys such as Sales, Customer Support and Collections, ensuring conversational flow and naturalness.
Benefits
  • Efficiency and humanization working together toward a revolution.
  • Prior experience in Customer Experience (CX) operations, contact centers or support platforms.
  • Experience migrating legacy/deterministic chatbots to purely generative or hybrid architectures.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Generative AILarge Language ModelPrompt EngineeringContext EngineeringRAG architecturesPythonREST APIsJSONtesting methodologieslanguage model performance
Soft Skills
assertive communicationautonomyself-managementlead-by-example leadershipempathyproblem-solvingtechnical guidanceclient interactionteam leadershipstrategic vision