Senior AI & Data Engineer
Quest Global (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 20–40 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable cloud-native applications and large-scale data processing solutions using AWS services, Apache Spark, and NoSQL databases.
- Develop and deploy AI-powered applications including Generative AI technologies, RAG architectures, AI Agents, and AWS Bedrock services to create automation solutions with measurable business impact.
- Build and manage CI/CD pipelines and collaborate in Agile teams to ensure high-quality software delivery and continuous performance and engineering improvements.
Minimum Requirements
- Strong experience in AWS cloud-native application development and services, including AWS EMR for Spark workloads.
- Proficiency in Apache Spark with Scala, Java, or Python, plus strong programming skills in these languages.
- Hands-on experience with AI-powered solutions development using Generative AI technologies, RAG pipelines, AI Agents, AWS Bedrock, and related frameworks like LangChain and LlamaIndex.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced technical contributor comfortable in cross-functional and Agile environments with a focus on delivery excellence and innovation.
- Strong background in building AI-first software engineering practices including AI-assisted development tools and managed AI models.
- Candidate likely has a problem-solving orientation with skills in debugging, troubleshooting, and optimizing complex cloud-based AI and data processing systems.