Posted:1 day ago|
Platform:
Work from Office
Full Time
Develop and maintain backend systems using Python (Django, Flask, FastAPI).
Build, secure, and scale APIs (REST, GraphQL, gRPC).
Implement LLM agent workflows, prompt engineering, and orchestration pipelines using frameworks such as LangChain, LangGraph, Semantic Kernel, Autogen.
Design and deploy RAG pipelines integrating vector databases (Pinecone, Qdrant, Chroma, Weaviate, etc.).
Develop AI-powered search frameworks leveraging Azure AI Search, Elastic + AI, or similar.
Write clean, modular, and production-grade code following MVC principles.
Collaborate with other engineers and product teams to deliver enterprise-grade AI apps.
Backend Development: Python, Django, Flask, FastAPI, MVC architecture.
APIs: API design, integration, and management.
Gen AI & LLMs: Prompt engineering, LLM agent development, Gen AI app development.
Frameworks: LangChain, LangGraph, Semantic Kernel, Autogen (or equivalents).
Vector DBs & RAG: Experience with vector databases and retrieval-augmented generation pipelines.
LLMs: Exposure to both open-source and cloud-hosted models (Azure OpenAI, Anthropic, Meta LLaMA, etc.).
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