Ai Lead - Strategy & Implementation

buscojobs España; País Vasco; A distancia; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

A leading company in B2B software is seeking an experienced AI Lead to oversee the strategy and implementation of AI systems. The role involves technical leadership, development of AI solutions, and collaboration with engineering and design teams. The ideal candidate will have a strong background in AI/ML, particularly in generative models and conversational interfaces, and will be responsible for mentoring a team of AI engineers. The position offers remote work, flexible hours, and various benefits.

Servicios

Performance-based compensation reviews

100% paid sick leave days

Remote work

Health & Wellness program

Reimbursement of co-working space

Reimbursement of professional development courses

Parental leave support

Formación

• 5+ years of experience building and deploying AI / ML systems.
• Strong background in LLMs, NLP, and conversational AI.

Responsabilidades

• Design and lead the development of AI-powered systems.
• Guide selection and integration of LLMs into product workflows.
• Coordinate across teams to ensure AI systems are user-centered.

Conocimientos

AI / ML systems

NLP

Conversational AI

Python

User-centric design

Herramientas

LangChain

Hugging Face

OpenAI

Docker

Kubernetes

Descripción del empleo

ApprovalMax is award-winning B2B software used by businesses around the world to approve bills and expenses. It streamlines the approval process for decision-makers by replacing paper and email approvals with automated workflows. ApprovalMax integrates with platforms such as Xero, QuickBooks Online, and Oracle NetSuite to unlock powerful efficiencies for approvers and finance teams. The company is globally recognized and has won’ Xero App Partner of the Year’ four times since 2020 in different countries.

We’re looking for an experienced and execution-driven AI Lead to own the strategy and end-to-end implementation of AI systems across our product stack.

This role requires a mix of technical leadership, architectural foresight, and hands-on development experience in applied AI- especially with generative models, conversational interfaces, and intelligent system design.

Key Responsibilities :

• Design and lead the development of AI-powered systems from concept to deployment
• Set up infrastructure and tooling for scalable, secure, and efficient model development and serving
• Guide selection and integration of LLMs (open-source or commercial) into product workflows.
• Establish best practices for prompt engineering, model fine-tuning, and evaluation
• Coordinate across engineering, product, and design teams to ensure AI systems are reliable and user-centered
• Hire, mentor, and grow a team of AI engineers and researchers
• Stay current with developments in AI / ML and apply relevant research to product needs.

Skills & Experience :

• 5+ years of experience building and deploying AI / ML systems in production.
• Strong background in LLMs, NLP, and conversational AI (e.g., GPT, Claude, Mistral, LLaMA, etc.)
• Expertise with frameworks like LangChain, Hugging Face, OpenAI, RAG pipelines, and vector databases (e.g., Weaviate, Pinecone, Chroma)
• Solid knowledge of AI system architecture, including model serving, monitoring, and optimization
• Strong programming skills in Python, with experience building APIs and integrating backend systems
• Cloud-native development experience (e.g., AWS / GCP / Azure), infrastructure-as-code, and containerization (Docker, Kubernetes)
• Experience leading teams or projects in a fast-paced product environment
• Understanding of user-centric design for AI interfaces and intelligent automation.

What we offer :

• Regular performance-based compensation reviews
• 100% paid 10 sick leave days
• Remote work, flexible hours
• Health & Wellness program - a bonus payment, which will cover 50% up to a total of 500 Euro annually of the amount spent on the following activities : medical services (except regular health insurance), fitness, sports activities (excluding sports equipment)
• Reimbursement of co-working space
• Reimbursement of professional development courses
• Parental leave support.