Note: The job is a remote job and is open to candidates in USA. Aiclo is building an AI engine that evolves its conversation intelligence platform into a proactive coach spanning entire sales deals. The Senior AI Engineer will design, ship, and continuously improve reliable, measurable, and cost-sustainable AI pipelines, including extraction, evaluation, memory, agents, retrieval, integrations, and privacy features.
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
Skills
- At least 3 years of experience as an AI/ML Engineer or Software Engineer working on LLM-based systems in production
- Strong command of Python and of the main model provider SDKs (OpenAI, Anthropic or similar)
- Hands-on experience designing structured extraction, classification and agent orchestration pipelines
- A habit of working with evals, metrics and test datasets, not gut feeling
- Experience with relational databases and data modeling; familiarity with retrieval systems and vector databases
- The ability to critically assess frameworks and tools, choosing the simplest solution that holds up
- Attention to inference costs and scalability
- Fluent English
- Experience with speech-to-text, diarization and conversational data
- Experience with workflow engines for long-running processes
- Knowledge of B2B sales processes and CRMs
- Experience with self-hosting or fine-tuning open source models
- Familiarity with GDPR and data anonymization
Benefits
- A central role in a growing startup, with direct impact on the product and its defensibility
- Autonomy in technical decisions and direct collaboration with the CTO and founders
- Fully remote work and flexible hours
- Possible equity bonus
Company Overview