Role: Blockchain Quality Assurance Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Quality Assurance and Testing
UG: Any Graduate
PG: Any Postgraduate
Role Overview
We are seeking a highly skilled engineer with strong expertise in Generative AI (RAG), Distributed Systems, and Cloud/DevOps practices. The ideal candidate will have hands-on experience in building, deploying, and maintaining production-grade systems, with a solid foundation in programming, design, and databases.
Key Responsibilities
Design, develop, and deploy solutions leveraging Generative AI (RAG) frameworks and LLMs. Work with distributed systems (Kafka, Message Queues, AWS Kinesis, Azure EventHub) to build scalable, reliable pipelines. Debug and resolve production issues using observability tools such as AppDynamics, NewRelic, Azure Monitor, Datadog. Write clean, optimized code in Python, Java, or.NET, with strong problem-solving and algorithmic skills. Contribute to DevOps processes including CI/CD, containerization (Docker + Kubernetes), and security practices (SAST/DAST/RAST). Collaborate on low-level design of functional modules, applying coding principles and design patterns. Work with databases and SQL, ensuring efficient query design and optimization. Deploy solutions on cloud platforms (preferably Azure, but AWS/GCP experience is also valued). Must-Have Skills Gen AI - RAG: Trained/POC execution; production experience is a plus. Strong understanding of LLMs, inference APIs, embeddings, and prompt engineering. Distributed Systems: End-to-end development and deployment experience with Kafka/EventHub/Kinesis. Programming Languages: Strong coding ability in Python/Java/.NET. DevOps: CI/CD, containerization (Docker + Kubernetes), static code analysis, and security testing. Design: Ability to design functional modules with coding principles/patterns. Databases: Solid understanding of DB fundamentals and SQL optimization. Nice-to-Have Skills Agentic AI: Exposure to agent-based AI systems and orchestration. Cloud Platforms: Experience across multiple cloud providers (Azure preferred). Front end frameworks: React/Angular Candidate Profile Strong analytical and problem-solving skills. Ability to work in fast-paced, production environments. Passion for emerging technologies in AI and distributed systems. Collaborative mindset with good communication skills Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.