Senior AI Engineer (LLM + Multi-Agent Systems)

Backsie Inc; Bologna; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

An innovative tech startup is seeking a Senior AI Engineer to develop cutting-edge emotionally intelligent chatbots. The role focuses on leveraging LLMs for enhancing user engagement and mental health solutions. Suitable candidates will have 4-7 years of experience in AI and NLP, with strong skills in LLM fine-tuning and a passion for technology that empowers users. This remote position offers the potential for future equity.

Servizi

Direct work with founders

Contract-to-full-time potential

Equity options after fundraising

Competenze

• 4–7 years of experience in AI, NLP, or related fields.
• Proven expertise with LLM fine-tuning and OpenAI API orchestration.
• Strong grasp of RAG frameworks and context retrieval.
• Excellent communication and collaborative mindset.

Mansioni

• Develop, fine-tune, and deploy multi-agent LLM architectures.
• Design low-latency AI systems for text and voice interaction.
• Collaborate on logic flow and integrate reasoning layers.
• Implement RAG pipelines for relevance and accuracy.
• Prototype and test for emotionally attuned responses.
• Contribute to product direction and orchestration strategies.

Conoscenze

Experience in AI

NLP

LLM fine-tuning

LangChain

OpenAI API

RAG frameworks

Vector databases

Python

FastAPI

PostgreSQL

AWS

Empathy

Communication

Descrizione del lavoro

At Backsie Inc (Permanent)

Expires at : 2026-01-26

Remote policy : Global remote

Role Overview

We’re seeking a highly skilled Senior AI Engineer with deep experience using LLMs to power conversational agents. You’ll lead the development of our emotionally intelligent chatbot that helps users navigate personal challenges, identify cognitive distortions, and discover constructive next steps.

Responsibilities

• Develop, fine-tune, and deploy multi-agent LLM architectures for real-time conversational experiences
• Design and optimize low-latency AI systems for seamless text and voice interaction
• Collaborate with backend engineers to structure logic flow and integrate behavioral reasoning layers
• Implement RAG (Retrieval-Augmented Generation) pipelines and safeguard relevance and accuracy
• Prototype, test, and iterate to achieve emotionally attuned and logically coherent responses
• Contribute to product direction, agent orchestration strategies, and upcoming Beta architecture

Requirements

• 4–7 years of experience in AI, NLP, or related fields
• Proven expertise with LLM fine-tuning, LangChain, or OpenAI API orchestration
• Experience with multi-agent orchestration and task distribution
• Strong grasp of RAG frameworks, vector databases, and context retrieval
• Familiarity with Python, FastAPI, PostgreSQL, and AWS preferred
• Deep empathy for user experience and mental health use cases
• Excellent communication and collaborative mindset

Nice to have

• Prior experience in mental health, wellbeing, or human-AI interaction
• Familiarity with CBT / DBT frameworks or emotional reasoning models

Benefits & Perks

We’re building something profoundly human — technology that listens and empowers. You’ll join an early-stage startup with a validated concept, working directly with the founder and core team to prepare for our Beta and Q1 2026 fundraising round.

Why Join Us

The role starts as a contract-to-full-time position with potential equity after fundraising.