Senior QA Engineer Manual and Automation
WaveBL is a blockchain-based digital trade platform for electronic bills of lading and broader trade-document management.
Funding history
Projects
About WaveBL
WaveBL provides encrypted, authenticated, peer-to-peer transfer of electronic master and house bills of lading and related trade documents. Its current offering includes an AI-powered Digital Hub, customs-document validation, digital trade-finance presentations, blockchain-backed document integrity, privacy controls, and live integrations with carriers, banks, freight forwarders, and cargo owners.
Skills
About the Role
Design and build scalable data pipelines for AI workflows, operationalize LLMs and multimodal models, evaluate and optimize their performance, and develop Java and Python backend services. Implement RAG and information-retrieval pipelines, improve outputs through prompt engineering and A/B testing, and turn AI capabilities into end-user features.
Requirements
- 7+ years of hands-on software engineering experience
- B.Sc. in Computer Science or Software Engineering; M.Sc. is a plus
- Strong proficiency in Java and Python
- Experience in cloud environments such as AWS, GCP, or Azure
- Hands-on experience with Kafka, SQL, and NoSQL databases
- Familiarity with machine learning fundamentals, NLP, information retrieval, and RAG architectures
- Experience building data pipelines for training, evaluation, or experimentation
- Experience with prompt optimization, model evaluation, and cost-aware experimentation
- Self-driven mindset and curiosity to explore new tools, frameworks, and approaches in applied AI
Responsibilities
- Design and build scalable data pipelines for AI workflows
- Integrate and operationalize LLMs and multimodal models
- Conduct error analysis, model evaluation, and cost and performance optimization
- Develop and maintain Java and Python backend services
- Implement retrieval-augmented generation and information-retrieval pipelines
- Apply prompt engineering, validation, and A/B testing
- Collaborate with product and engineering teams to turn AI capabilities into end-user features
- Stay current with emerging AI trends and tools
