AIML Engineer
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Job Summary
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)
