Role & responsibilities :-
- Engage directly with customers to understand business challenges, technical requirements, and operational constraints
- Translate customer requirements into solution designs, technical workflows, and implementation plans
- Design, develop, and deploy production-grade applications using Python, JavaScript, or related technologies
- Build and integrate LLM-powered applications, including conversational systems, automation workflows, and knowledge-based systems
- Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding strategies, retrieval optimization, and response orchestration
- Build and manage agent-based architectures, including task orchestration, tool integration, and execution flows
- Design and maintain evaluation frameworks to measure model quality, retrieval effectiveness, and output reliability
- Implement and manage MLOps/LLMOps pipelines covering deployment, monitoring, versioning, rollback, and lifecycle management
- Develop and deploy applications in cloud environments such as AWS, Azure, or GCP
- Collaborate with data engineers, architects, and technical leads to integrate AI workflows into enterprise systems
- Identify technical risks and implementation bottlenecks, proposing mitigation strategies proactively
- Balance rapid prototyping with production-readiness, ensuring quality, scalability, and maintainability
- Support optimization of delivery workflows by leveraging AI tools to improve engineering productivity and operational efficiency
Interested candidates kindly share your resume to
[email protected] with the below details.
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- Preferred Location( ready to relocate to Pune):-
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📌 Senior GEN AI Engineer- Pune
🏢 Prodapt Solutions
📍 Pune