AI Engineer – Automotive

This is a fully remote position, open to applicants in Romania.

📋 Description

• Lead the architecture, development, and enhancement of (generative) AI applications, emphasizing model evaluation, retrieval-augmented generation (RAG), and prompt engineering.

• Develop comprehensive RAG pipelines (ingestion, chunking, embeddings, retrieval, re-ranking) and seamlessly integrate them with internal data sources.

• Create and incorporate data storage solutions for AI applications utilizing vector search in Snowflake and relational databases like PostgreSQL.

• Evaluate and integrate data from multiple sources, ensuring high data quality and preparing it for effective AI-driven solutions.

• Experiment with LLM models (e.g., OpenAI, Anthropic, Azure OpenAI) to enhance performance, reliability, and applicability across various business cases.

• Establish and uphold strong engineering practices for GenAI applications (testing, observability, security, performance optimization).

• Collaborate closely with our AI platform team to advance, standardize, and scale AI-driven capabilities throughout the BMW Group.

• Work in partnership with diverse business units, assisting them in leveraging AI models for practical applications and ongoing enhancements.

• Share your expertise in Generative AI, LLM orchestration, and software engineering with other teams, fostering knowledge-sharing and innovation within the organization.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related discipline.

• A minimum of 7 years of professional software engineering experience, with a strong emphasis on backend or data-intensive applications.

• Strong expertise in Python and experience in building production systems.

• Deep understanding of software development best practices (clean code, unit/integration testing, code reviews, CI/CD).

• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI) and LLM orchestration frameworks like LangGraph.

• Demonstrated experience with RAG architectures and vector databases/embeddings.

• Experience in data ingestion and preprocessing for LLM applications (ETL, data pipelines, document processing).

• Familiarity with implementing guardrails, safety checks, and evaluation frameworks for LLM applications.

• Knowledge of MLOps or LLMOps concepts and best practices for deploying, monitoring, and maintaining AI models and AI-enabled services in production.

• Strong problem-solving capabilities and the ability to thrive in a collaborative, agile environment.

• Excellent English communication skills, both written and verbal.

🏝️ Benefits

• Comprehensive medical package

• Lunch Tickets & Pluxee Card

• Bookster subscription

• 13th salary/yearly bonuses

• Job security in an enterprise environment with a startup mentality (diverse & engaging atmosphere, international exposure, flat hierarchy) backed by a stable multinational.

• A supportive culture that values ownership, autonomy, and a healthy work-life balance, complemented by great colleagues, team events, and activities.

• Flexible working options and openness to remote work.

• Collaborative approach – employees have a say in shaping their benefits, tools, team events, and internal practices.

• Diverse opportunities in Software Development with international exposure.

• Flexibility to select projects that align with your career trajectory and technical aspirations.

• Access to top-tier learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud).

• Opportunities for career advancement and learning through mentorship programs, certifications, professional development initiatives, and competitive salaries.