AI Engineer Senior - Fully Remote

Aiclo is a conversation intelligence platform for sales teams that analyzes meetings and calls to generate coaching, structured data, and actionable insights. The Senior AI Engineer will design, deploy, and continuously improve reliable, measurable, and cost-efficient AI pipelines, including structured extraction, model orchestration, evaluation, memory, agents, retrieval, integrations, and privacy-aware learning.

Responsibilities:

• Structured behavior extraction. Design the pipeline that extracts neutral, structured, timestamped behavioral moments from every conversation, comparing them against the company's declared sales method, the customer's reaction and the outcome of the deal. The system must be able to discover unexpected behaviors, not just check against a closed list
• Multi-tier model architecture. Build and optimize the orchestration between fast, low-cost models for classification and filtering and larger models for reasoning, explanations and scorecards, balancing quality, latency and cost per call
• Evaluation and quality. Define reference datasets and systematic evals (recall, precision, performance in Italian and other languages, long transcripts) for every component, and use them to decide what goes into production
• Data model and memory. Reliably link meetings, emails and contacts to the right deal, and implement a three-level memory (organization, account, user) with its governance rules
• Agents and automations. Develop Bots (proactive automations that managers can also create in natural language), custom signals with retroactive preview, and the reconciliation logic for To Dos, including workflows that run for days or weeks
• Knowledge and retrieval. Integrate the customer's company knowledge (playbooks, sales method, materials) where it really adds value, choosing between direct context and retrieval depending on the case
• Integrations. Contribute to bidirectional CRM integrations and to exposing Aiclo to external assistants via MCP
• Privacy by design. Design cross-organization learning on aggregated data in compliance with GDPR and customers' commercial confidentiality