AI Engineer (Agentic / GenAI)

What you’ll do

• Build production LLM agents for clients (multi-agent systems, tool use, RAG)
• Develop in Python on AWS Bedrock and GCP Vertex AI
• Work directly with clients

What they’re looking for

• Has built and shipped LLM agents to production
• Experience with frameworks like Strands Agents, LangChain, Agno, Deep Agents, Google ADK or Claude Agent SDK
• Communicative, collaborative, eager to learn and willing to take ownership
• Hands-on engineer (not a research or prompt-only role)

Skills

• Python: Python, production
• AWS Bedrock: AWS Bedrock, AWS
• GCP Vertex AI: GCP Vertex AI, Google Cloud
• LangChain: LangChain
• Strands Agents: Strands Agents
• Agno: Agno
• Deep Agents: Deep Agents
• Google ADK: Google ADK
• Claude Agent SDK: Claude Agent SDK
• RAG: RAG, retrieval-augmented generation
• LLM agents: LLM agents, multi-agent systems, tool use

The post

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.

Apply: https://www.linkedin.com/jobs/view/4478769287/ or bat-el@opsfleet.com - please mention HN, and tell us about an agent you've built.