Senior AI Engineer (LLM + Multi-Agent Systems)

Backsie Inc; Roma; Remoto; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

An innovative technology startup is seeking a Senior AI Engineer to develop emotionally intelligent chatbots. This role involves building and optimizing AI systems for real-time conversation and user interaction. Candidates should have a strong background in AI/NLP, particularly with LLM fine-tuning and orchestration. Join this early-stage team as they prepare for their Beta and fundraising in 2026. Remote work is offered.

Servizi

Equity potential after fundraising

Direct collaboration with founders

Innovative work in mental health technology

Competenze

• 4–7 years of experience in AI, NLP, or related fields.
• Proven expertise with LLM fine-tuning and orchestration.
• Strong grasp of RAG frameworks and vector databases.

Mansioni

• Develop and deploy multi-agent LLM architectures for conversational experiences.
• Design low-latency AI systems for seamless interaction.
• Collaborate on logic flow and integrate reasoning layers.

Conoscenze

AI and NLP experience

LLM fine-tuning

Multi-agent orchestration

RAG frameworks

Python

FastAPI

Strumenti

LangChain

OpenAI API

PostgreSQL

AWS

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.