24.07.2026 aktualisiert
NM
100 % verfügbar
AI & Backend Engineer | Data Platforms & Autonomous Driving
Deutschland
Deutschland
M.Sc. Automation & Robotics, National Technical University of Athens, GreeceSkills
APIsBig DataDatenbank-EnginesBackendBackend-programmierungAutomatisiertes FahrenDaten-Pipeline
AI & LLM Systems
Expertise in OpenAI APIs, LangGraph, LLM agents, RAG, embeddings, semantic search, context engineering and source-grounded generation, including the design and implementation of agentic workflows and LLM-assisted pipelines for data collection, extraction, classification and summarization.
Backend Engineering
Proficiency in Python, FastAPI, REST APIs, microservices, PostgreSQL, SQL and distributed data processing, with hands-on experience architecting full-stack platforms and designing database models and application workflows supporting evidence-based analysis and automated reasoning.
Search & Knowledge Graph Technologies
Deep knowledge of pgvector, Elasticsearch, Neo4j, hybrid retrieval, vector search, full-text search and graph-based retrieval, applied in building hybrid RAG pipelines combining semantic and vector search, Elasticsearch retrieval, graph traversal and structured knowledge models.
Automotive Data & ADAS Pipelines
Experience with ADAS and autonomous-driving datasets, sensor and perception data, computer-vision data pipelines, dataset curation and annotation, and HD maps, including building and maintaining production data pipelines for large-scale Volvo automated-driving platforms.
Engineering Leadership
Track record in system architecture, technical ownership, cross-functional delivery and team leadership, including leading teams of engineers and coordinating implementation with engineering and business stakeholders.
Computer Vision & Machine Learning Tooling
Development of scalable Python and C++ tooling for data processing, dataset preparation, experimentation and platform workflows supporting computer-vision model training and evaluation.
Automated Driving Maps & Localization
Building scalable backend systems and algorithms for road-signature localization, processing large-scale radar road data for automated-driving map generation and lane-level positioning, as well as distributed data pipelines for HD-map generation.
Navigation & Big-Data Systems
Development of automotive navigation software and large-scale data-processing pipelines for infotainment and mapping systems.
Fleet Data Systems
Delivery of large-scale fleet-data ingestion and backend processing systems, including writing technical specifications and functional requirements.
Expertise in OpenAI APIs, LangGraph, LLM agents, RAG, embeddings, semantic search, context engineering and source-grounded generation, including the design and implementation of agentic workflows and LLM-assisted pipelines for data collection, extraction, classification and summarization.
Backend Engineering
Proficiency in Python, FastAPI, REST APIs, microservices, PostgreSQL, SQL and distributed data processing, with hands-on experience architecting full-stack platforms and designing database models and application workflows supporting evidence-based analysis and automated reasoning.
Search & Knowledge Graph Technologies
Deep knowledge of pgvector, Elasticsearch, Neo4j, hybrid retrieval, vector search, full-text search and graph-based retrieval, applied in building hybrid RAG pipelines combining semantic and vector search, Elasticsearch retrieval, graph traversal and structured knowledge models.
Automotive Data & ADAS Pipelines
Experience with ADAS and autonomous-driving datasets, sensor and perception data, computer-vision data pipelines, dataset curation and annotation, and HD maps, including building and maintaining production data pipelines for large-scale Volvo automated-driving platforms.
Engineering Leadership
Track record in system architecture, technical ownership, cross-functional delivery and team leadership, including leading teams of engineers and coordinating implementation with engineering and business stakeholders.
Computer Vision & Machine Learning Tooling
Development of scalable Python and C++ tooling for data processing, dataset preparation, experimentation and platform workflows supporting computer-vision model training and evaluation.
Automated Driving Maps & Localization
Building scalable backend systems and algorithms for road-signature localization, processing large-scale radar road data for automated-driving map generation and lane-level positioning, as well as distributed data pipelines for HD-map generation.
Navigation & Big-Data Systems
Development of automotive navigation software and large-scale data-processing pipelines for infotainment and mapping systems.
Fleet Data Systems
Delivery of large-scale fleet-data ingestion and backend processing systems, including writing technical specifications and functional requirements.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2025
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
Architecting and building a full-stack AI risk-intelligence platform using Python, FastAPI, PostgreSQL, pgvector, Neo4j, Elasticsearch and OpenAI APIs. Implemented LangGraph-based agentic workflows and LLM-assisted pipelines for data collection, ingestion, extraction, classification and summarization. Built hybrid RAG pipelines combining semantic and vector search, Elasticsearch retrieval, graph traversal and structured knowledge models. Designed REST APIs, microservices, database models and application workflows supporting evidence-based risk analysis and automated reasoning.
Built and maintained production data pipelines for curation, annotation and quality assurance of large-scale ADAS sensor, perception and computer-vision datasets for Volvo's automated-driving platform. Supported computer-vision model training and evaluation by developing scalable Python and C++ tooling. Designed and operated backend services and microservices supporting computer-vision, machine-learning and large-scale data-processing workflows at fleet scale.
Built scalable backend systems and algorithms for Bosch road-signature localization, processing large-scale radar road data for automated-driving map generation and lane-level positioning. Developed distributed data pipelines and production processing infrastructure for HD-map generation and localization workflows.