AI Engineer – Automotive

Qualysoft

AI Engineer developing generative AI applications, focusing on model evaluation and RAG at Qualysoft. Collaborating with teams to leverage AI for various business applications.

Posted 7/13/2026full-timeRemote • 🇷🇴 RomaniaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Generative AI applications, focusing on model evaluation, retrieval-augmented generation, and prompt engineering. Proficient in Python and experienced in building production systems, with a strong understanding of software development best practices and data integration for AI solutions.

Highest-signal resume keywords

Generative AI ApplicationsPython ProgrammingRAG ArchitecturesLLM APIsData Ingestion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development Best PracticesUnit TestingIntegration TestingCI/CDData PipelinesDocument ProcessingVector DatabasesEmbeddingsLLM OrchestrationPerformance Optimization

Soft Skills

Problem-SolvingCollaborationAgile EnvironmentCommunication

Tools & Technologies

SnowflakePostgreSQLOpenAIAnthropicAzure OpenAILangGraph

Industry Keywords

MLOpsLLMOpsAI-Driven SolutionsData QualityModel Evaluation

Tech Stack

Tools & technologies

AzureETLPostgresPython

About the role

Key responsibilities & impact

Drive the architecture, development and optimization of (generative) AI applications with a strong focus on model evaluation, retrieval-augmented generation (RAG), and prompt engineering.
Implement end-to-end RAG pipelines (ingestion, chunking, embeddings, retrieval, re-ranking) and integrate them with internal data sources.
Design and integrate data storage for AI applications using vector search in Snowflake and relational databases such as PostgreSQL.
Analyze and integrate data from various sources, ensuring high data quality and preparing it for effective AIdriven solutions.
Experiment with LLM models (e.g. OpenAI, Anthropic, Azure OpenAI) to improve performance, reliability and applicability across business use cases.
Establish and maintain robust engineering practices for GenAI applications (testing, observability, security, performance optimization).
Collaborate closely with our AI platform team to enhance, standardize and scale AI-driven capabilities across the BMW Group.
Work closely with different business units, helping them leverage AI models for real-world applications and continuous improvements.
Share your expertise in Generative AI, LLM orchestration, and software engineering with other teams, contributing to knowledge-sharing and innovation within the organization.

Requirements

What you’ll need

University degree in Computer Science, Engineering, or a related field.
At least 7 years of professional software engineering experience, with a strong focus on backend or dataintensive applications.
Strong proficiency in Python and experience building production systems.
Strong understanding of software development best practices (clean code, unit/integration testing, code reviews, CI/CD).
Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) and LLM orchestration frameworks such as LangGraph.
Proven experience with RAG architectures and vector databases / embeddings.
Experience with data ingestion and preprocessing for LLM applications (ETL, data pipelines, document processing).
Experience implementing guardrails, safety checks and evaluation frameworks for LLM applications.
Familiarity with MLOps or LLMOps concepts and best practices for deploying, monitoring and maintaining AI models and AI-enabled services in production.
Strong problem-solving skills and the ability to work in a collaborative, agile environment.
Excellent English communication skills, both written and spoken.

Benefits

Comp & perks

Premium medical package
Lunch Tickets & Pluxee Card
Bookster subscription
13th salary/yearly bonuses
Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational
A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities
Flexible working program and openness to remote work
Collaborative mindset – employees shape their own benefits, tools, team events and internal practices
Diverse opportunities in Software Development with international exposure
Flexibility to choose projects aligned with your career path and technical goals
Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)
Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary