Must Have Technical/Functional Skill
- Strong Python expertise with experience building and deploying production-grade backend systems
- Hands-on experience developing applications using LLMs, including prompt engineering and orchestration
- Proven experience with RAG architectures, embeddings, and vector databases
- Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)
- Strong system design skills with experience building and scaling cloud-based applications
Roles & Responsibilities
- Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python
- Design and implement RAG pipelines over enterprise data using embeddings and vector databases
- Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain
- Integrate AI systems with APIs, backend services, and cloud platforms
- Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)
For applications and inquiries, contact: [email protected]
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