The Role
Design and implement GenAI enterprise applications: build RAG-based systems, integrate OpenAI/Azure APIs, secure AI endpoints (OAuth2), connect AI services with Spring Boot/ActiveMQ, and optimize performance and token usage.
Summary Generated by Built In
We are seeking a GenAI Engineer to design and implement AI-enabled enterprise applications integrated with
secure APIs and workflow engines.
Key Responsibilities
• Develop RAG-based AI systems
• Integrate OpenAI/Azure OpenAI APIs
• Secure AI endpoints using OAuth2
• Integrate AI services with Spring Boot and ActiveMQ
• Optimize performance and token usage
Requirements
• 3–6 years of experience in AI/ML or backend development
• Strong Python programming skills
• Experience with LLM APIs (OpenAI/Azure)
• Experience building chatbot or RAG systems
• Understanding of API security
Technical Stack & Environment
• Backend: REST APIs, Microservices
• Security: Spring Security, OAuth2, JWT, RBAC
• Databases: PostgreSQL, MySQL, MongoDB
• DevOps: Docker, Kubernetes, CI/CD
• Cloud: AWS / Azure
• AI Stack: Python, FastAPI, LangChain, LlamaIndex, HuggingFace
• Vector Databases: FAISS / Pinecone / Weaviate
Skills Required
- 3-6 years of experience in AI/ML or backend development
- Strong Python programming skills
- Experience with LLM APIs (OpenAI/Azure)
- Experience building chatbot or RAG systems
- Understanding of API security
- Experience integrating AI services with Spring Boot and ActiveMQ
- Familiarity with Spring Security, OAuth2, JWT, RBAC
- Experience with PostgreSQL, MySQL, or MongoDB
- Experience with Docker, Kubernetes, and CI/CD pipelines
- Experience with AWS or Azure cloud platforms
- Experience with FastAPI, LangChain, LlamaIndex, or HuggingFace
- Experience with vector databases (FAISS, Pinecone, Weaviate)
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The Company
What We Do
Marketscope is a technology company specializing in the development and integration of Advanced Driver Assistance Systems (ADAS) and the scaling of production-grade AI/ML applications. The company focuses on AI platform engineering and product stacks, targeting strategic enterprise accounts and government sales, particularly within the Indian market, while expanding its reach into new international industries.
