Top Tech Jobs & Startup Jobs in Pune

Design and build production-grade AI features and REST APIs using Spring AI and Spring Boot. Implement RAG and vector search, integrate LLM providers, manage vector stores, ensure security with Spring Security, and deploy scalable microservices with Docker, Kubernetes, and CI/CD.

Design, build, and operate scalable Python REST APIs and microservices (FastAPI/Flask, Docker, Kubernetes). Productionize LLM-powered applications using OpenAI/Anthropic, LangChain/LlamaIndex, implement RAG with vector DBs, deploy secure, observable AI systems, and optimize backend performance for business-critical use cases.

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

The Staff Engineer in Data Science is responsible for machine learning, data analysis, and mentoring team members, while ensuring high-quality technical solutions are delivered.

The Senior Staff Engineer, Machine Learning will lead the design and implementation of machine learning solutions, focusing on AI architecture, data manipulation, and developing AI agents for complex decision-making. Responsibilities include stakeholder engagement, technical design, and adherence to best practices in AI and ML.

The Senior Staff Engineer, Machine Learning will design and implement AI/ML solutions, focusing on NLP and machine vision while leading technical design and architecture discussions.

Lead end-to-end Oracle CPQ Cloud implementations, including design, configuration, testing, and deployment while managing integrations with Salesforce and Oracle Fusion ERP.

The role involves leading Oracle CPQ Cloud implementations, managing integrations with Salesforce and Oracle ERP, and mentoring junior consultants while ensuring adherence to pricing governance models.

Lead architectural design for telecom services on Microsoft Azure, translating business needs into robust cloud-native architectures, and ensuring technical compliance across solutions.

Lead Oracle CPQ Cloud implementations, including design and deployment. Configure models and pricing rules, integrate with Salesforce and Oracle Fusion, and mentor juniors.