Agile Programming Methodologies, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Backend as a Service (BaaS), Cloud Applications, Data Science, DevOps, Memory Hardware, Python Programming/Scripting Language, System Integration (SI), Systems Scalability
Key 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)
Key Qualifications
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
Essential Skills: AI/ML Engineer
Desirable Skills:
Keyword:
Skills: Agile DevOps for Senior Management~Digital : Python for Data Science~AI and Automation~AI & Gen AI - Products & Tools
Experience Required: 8-10e
eTeam Inc.
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