17 publicaciones de empleo destacadas de engineer with python en desde casa (¡Están contratando!)

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. Duration is 4-6 months with the possibility of prolongation. Time zone: EU or Canadian time zone

Responsibilities:

Design, build, and maintain agentic AI systems as part of the AI platform
Work in depth with AWS to build and operate the underlying platform infrastructure
Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements:

Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
Strong Python knowledge
Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
Experience with LLMs, prompt engineering, and AI integration patterns.
Strong troubleshooting skills and a collaborative, team-first mindset.
English level - upper-intermediate (both verbal and written)

Nice to Have:

Familiarity with MCP (Model Context Protocol).
Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
Docker/Kubernetes familiarity.

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

not applicable for freelancers

Postulación rápida

Refiná tu búsqueda

engineer with python empleos en desde casa

Senior AI Engineer - Agentic Systems

Sr. AI Security Engineer

Senior Product Analyst – Application Lifecycle (Argentina)

Lead Operational Intelligence Engineer

Data Engineer (Tableau)

Senior/Lead AI Engineer

Principal Software Engineer - Identity & Access Management

Lead Data Quality Engineer

Lead Data Engineer

Sr. Developer Productivity Engineer

Senior Business Intelligence Engineer

Staff Product Engineer

Data Consultant

Delivery Manager

Lead DevOps

Tech Lead

Lead Data Engineer & Architect (Snowflake & GCP)

Quiero recibir la alerta de empleo más reciente para engineer with python en desde casa

Explorar empleos en más ubicaciones

About the client

Responsibilities:

Requirements:

Nice to Have:

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado