AI Engineer (Agentic / GenAI)

Opsfleet

United States

Remote

USD 140,000 - 210,000

Full time

36 hours ago
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Job summary

Opsfleet is seeking an AI Engineer (Agentic / GenAI) for fully remote work across the Europe, Middle East and Africa region. You will build production LLM agents for clients using AWS Bedrock and Google Vertex AI, with frameworks like LangChain and agent SDKs.

This hands-on role requires shipping multi-agent systems, tool use, RAG strategies and end-to-end ownership of AI services projects within Opsfleet's growing GenAI practice. Direct client contact is part of the role.

Qualifications

  • Hands-on experience building production-grade LLM agents.
  • Experience with vector databases and retrieval augmented generation.
  • Strong collaboration with clients and cross-functional teams.

Responsibilities

  • Build and deploy production LLM agents for client projects.
  • Evaluate tools and frameworks for scalable agent architectures.

Skills

LLM agents
Python
AWS Bedrock
Vertex AI
LangChain
Multi-agent systems
RAG

Tools

LangChain
Deep Agents
Claude Agent SDK
Google ADK
AWS Bedrock
Vertex AI

Job description

Opsfleet | AI Engineer (Agentic / GenAI) | REMOTE (EEA) | Full-time

Fully remote cloud & AI services company (founded 2015, 70+ engineers, AWS Premier, Google Cloud & Snowflake Partner) with a growing GenAI practice and several active client projects. You'll build production LLM agents for clients: multi-agent systems, tool use and RAG, in Python, on AWS Bedrock and GCP Vertex AI. Direct client contact. We're looking for a hands-on engineer (not a research or prompt-only role) who has built and shipped LLM agents to production, with frameworks like Strands Agents, LangChain, Agno, Deep Agents, Google ADK or Claude Agent SDK. Just as important: we hire good people. Communicative, collaborative, eager to learn and happy to take ownership. That's what makes people succeed here, with clients and with the team. Process: intro call -> take-home assignment -> technical interview -> offer.

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