Stellantis

ABOUT THE ROLE

In Stellantis, we build production-grade software and AI enablers for Stellantis enterprise. The development focuses on delivering robust AI features that would mundane manual work. 

We are looking for an MLOps Engineer who will work with Production-grade AI Solutions (LLMs), the cloud infrastructure (python, AWS), and collaborate with a wide range of AI Engineers. You will work closely with AI Engineers to deliver AI solutions to a production/RnD environment and have the opportunity to work in many different AI domains. 

Key Responsibilities:

• Implement Engineering Pipeline and maintain AI-based solutions for the Stellantis Ukraine
• Implement ETL (Extract-Transform-Load) pipeline on AWS for production AI Usage
• Contribute to a production-grade AWS Infrastructure platform for AI Projects
• Collaborate with AI Engineers to product robust and scalable AI Solutions
• Participate in code reviews, refinements, and sprint plannings. 
• Be responsible for monitoring, alerting and visibility for AI Solutions

ABOUT YOU

Qualifications and Experience:

• At least three years of working experience in Python or Java development
• Experience with AWS (at least Cloud Practitioner certification would be a benefit)
• Experience with Terraform
• Experience working with AI Pipelines, in turns of infrastructure, monitoring, maintance
• Experience with Containerization (Docker)
• Experience setting up CI/CD pipelines for AI projects

Would be a plus:

• Knowledge and experience of robust AI Monitoring tools (Prometheus, Grafana, Comet Opik or others)
• Experience with GenAI (LLM)
• Experience with AI frameworks and tools (LangChain, LangGraph, RAG)
• Experience working with Serverless 
• Advanced experience with LLMOps / MLOPS: Model drift detection, Performance degradation, LLM-as-a-judge testing

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.

ABOUT THE ROLE

We are looking for a highly skilled Python Engineer to work closely with AI engineering team to develop, deploy and implement AI-powered automations across the company.

Your primary responsibility will be to analyze internal processes, identify automation opportunities, and build intelligent solutions that improve efficiency, accuracy, and scalability. Integrate AI solutions and move them to production.

This role is ideal for someone who combines deep technical knowledge with a product mindset and enjoys building practical, high-impact AI systems.

Key Responsibilities

• Work closely with data science team and help them to develop highly optimized code for data processing and Machine Learning (ML).
• Define and implement the deployment processes.
• Develop backend REST services used in PoC. Design such services from scratch. Work closely with product team to identify the requirements.
• You will have flexibility to experiment with new libraries and technologies and use them for the projects.
• Integrate LLM models (OpenAI, Anthropic, open-source models, etc.) into internal systems and software products.
• Build and maintain prompt pipelines, agents, RAG systems, and internal AI services.
• Collaborate with operations, product, and engineering teams to map workflows and identify automation opportunities.
• Implement monitoring, logging, and evaluation frameworks for LLM-driven applications.
• Stay up-to-date with the latest advancements in LLMs, frameworks, and AI tooling.

ABOUT YOU

Qualifications & Experience

• Upper-intermediate level in spoken and written English
• Solid knowledge of Python and its ecosystem
• Experience with Relational Databases and SQL (PostgreSQL)
• Experience with Test frameworks (py.test, Tavern)
• Experience with Docker
• Hands-on experience with Git
• Understanding of Software Design, OOP, data structures and algorithms
• Understanding of REST API design principles
• Team playing attitude as well as ability to work and research independently

Would be a plus:

• Experience with LLMs, including fine-tuning, prompt engineering and model integration.
• Able to build meaningful visualizations of results
• Experience with AWS (preferred) or any other cloud provider (Azure, GCP, etc)
• Experience with data-mining methods and technologies
• Previous work with automotive or IoT data analytics
• Previous work on open source projects

WE OFFER

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days.
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.