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Senior AI Engineer - Agentic Systems and LLM

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Roles & Responsibilities

  • Strong experience in Python development
  • Hands-on experience with LLM applications and prompt engineering
  • Experience building Agentic workflows and AI orchestration systems
  • 2–3plus years of hands-on experience in Agentic AI workflow development

Requirements:

  • Design and develop end-to-end LLM-powered applications using Python
  • Build Agentic AI workflows with planning, execution, and memory capabilities
  • Develop RAG pipelines using embeddings and vector databases
  • Integrate AI systems with APIs, backend services, and cloud platforms

Job description

Senior AI Engineer – Agentic Systems & LLM

Location: Remote

Job Summary

We are looking for a Senior AI Engineer with strong experience in Agentic AI systems, LLM applications, and Python-based backend development. The candidate will design, build, and deploy scalable AI-powered solutions using modern LLM frameworks, RAG architectures, and cloud technologies.

Key Responsibilities

  • Design and develop end-to-end LLM-powered applications using Python
  • Build Agentic AI workflows with planning, execution, and memory capabilities
  • Develop RAG pipelines using embeddings and vector databases
  • Implement AI orchestration using frameworks like LangChain, LangGraph, or AutoGen
  • Integrate AI systems with APIs, backend services, and cloud platforms
  • Optimize AI applications for scalability, latency, reliability, and cost efficiency
  • Collaborate with cross-functional teams for deployment and production support

Required Skills

  • Strong experience in Python development
  • Hands-on experience with LLM applications and prompt engineering
  • Experience building Agentic workflows and AI orchestration systems
  • Knowledge of RAG architectures, embeddings, and vector databases
  • Experience with LangChain, LangGraph, AutoGen, or similar frameworks
  • Strong understanding of backend systems and cloud-based architectures
  • Experience integrating APIs and enterprise systems
  • 2–3+ years of hands-on experience in Agentic AI workflow development
  • Proven experience building production-grade AI applications
  • Experience deploying scalable AI solutions in cloud environments
  • Experience in Healthcare Insurance / Payer domain
  • Knowledge of AI evaluation, monitoring, and optimization strategies

Technical Skills

Primary Skills: AI, LLM, Agentic AI, Python
Secondary Skills: RAG, LangChain, LangGraph, AutoGen, Vector Databases, Cloud Platforms

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