
5001 - 10000 employees
🤝 B2B
🏢 Enterprise
💰 Private equity on 2017-02
B2B • Enterprise
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

5001 - 10000 employees
🤝 B2B
🏢 Enterprise
💰 Private equity on 2017-02
B2B • Enterprise
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
• Work on the core engine behind a production AI assistant • Focus on retrieval, LLM orchestration, and answer quality • Evolve AI-powered customer support from answering questions to executing requests • Safely perform actions like placing orders or activating services in a regulated telecom environment
• 3+ years • Proficiency in building production Python services (async, API design) • Experience designing and building REST APIs (and consuming them) • Hands-on experience building RAG / retrieval-augmented generation systems (preferably LangChain, Langfuse, Llamaindex, FastAPI, Pydantic) • Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, Qdrant, pgvector) and understanding of embeddings and similarity search • Evaluating and validating LLM output quality (Azure OpenAI) • Data ingestion and chunking/similarity search (for structured and unstructured data) • CI/CD pipeline expertise (preferably Github) • Familiarity with Infra as Code (Terraform) and API gateway • Cloud expertise (preferably AWS) • Writes automated tests as a habit (unit and integration testing with pytest) • AG/LLM open source or published eval work, a GitHub profile showing real projects is a plus
• Equal opportunities in recruitment and career development • Fostering a work environment for diverse community
Apply Now🕒 June 24
BI Data Engineer designing and operating data models while ensuring data quality and integrity. Collaborating with business stakeholders for trusted BI insights.
Amazon Redshift
AWS
BigQuery
Cloud
Grafana
Python
SQL
Terraform
🕒 May 30
Lead Data Engineer responsible for designing operational data stores and analytical ecosystems for cloud-based solutions. Collaborate with engineering teams to optimize real-time data flows and support AI initiatives.
Airflow
AWS
BigQuery
Cloud
ETL
Kafka
Python
Spark
SQL
🕒 April 9
Senior Data Engineer working on AI-driven Pharma-Tech solutions. Developing scalable data pipelines and collaborating within an international team for better cancer medicine.
AWS
Google Cloud Platform
Python
Terraform