Senior GenAI/LLM Agent Engineer

Remobi โ€ข European Union
Remote
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AI Summary

Design and implement LLM-based agents for enterprise operations. Build multi-step, tool-augmented agent workflows and integrate with enterprise APIs and databases. Collaborate with platform, data, and AI engineers to deliver production-ready solutions.

Key Highlights
Design and implement LLM-based agents
Build multi-step, tool-augmented agent workflows
Integrate with enterprise APIs and databases
Key Responsibilities
Design and implement LLM-based agents using LangChain and LangGraph
Build multi-step, tool-augmented agent workflows capable of reasoning and decision-making
Develop RAG pipelines to extract and structure information from long-form, unstructured inputs
Enable multi-turn interactions where agents dynamically clarify missing or ambiguous data
Integrate agents with enterprise APIs, internal systems, and databases
Deploy and operate agent systems on AWS, ensuring scalability, reliability, and low latency
Implement privacy-aware processing, including handling of sensitive and regulated data
Technical Skills Required
LangChain LangGraph Python AWS
Benefits & Perks
Fully remote
B2B/freelance contracts
Access to high-impact roles

Job Description


GenAI / LLM Agent Engineer โ€“ Build Enterprise-Grade AI Agents for Real-World Operations!


We are recruiting on behalf of a global enterprise organisation operating at the intersection of GenAI, large-scale data platforms, and complex operational environments. This organisation is building production-grade AI agents designed to capture, clarify, and structure critical real-world information - where accuracy, reliability, and data privacy are non-negotiable.

Youโ€™ll join at a key delivery phase, shaping multi-modal, agent-driven systems that integrate directly into enterprise workflows and downstream analytics.

As a GenAI / LLM Agent Engineer, youโ€™ll take ownership of agent design, orchestration, and deployment, working in a highly technical, fast-moving engineering environment.

Your Role:

Youโ€™ll be responsible for designing and building LLM-powered agents that go beyond simple chatbots - agents that reason, ask clarifying questions, use tools, and interact with enterprise systems. This is a hands-on senior role with real ownership across the full agent lifecycle, from data ingestion and orchestration through to production deployment.


What Youโ€™ll Do:

  • Design and implement LLM-based agents using LangChain and LangGraph
  • Build multi-step, tool-augmented agent workflows capable of reasoning and decision-making
  • Develop RAG pipelines to extract and structure information from long-form, unstructured inputs
  • Enable multi-turn interactions where agents dynamically clarify missing or ambiguous data
  • Integrate agents with enterprise APIs, internal systems, and databases (e.g. Snowflake)
  • Deploy and operate agent systems on AWS, ensuring scalability, reliability, and low latency
  • Implement privacy-aware processing, including handling of sensitive and regulated data
  • Collaborate closely with platform, data, and AI engineers to deliver production-ready solutions


What You Bring:

  • Proven experience building LLM agents in production (not just chatbots or demos)
  • Strong hands-on experience with LangChain and/or LangGraph
  • Solid Python engineering background and cloud deployment experience on AWS
  • Experience working with RAG, unstructured data extraction, and enterprise integrations
  • Comfort operating in environments where reliability, accuracy, and data governance matter


Why Join the Remobi community:

  • Fully remote B2B / freelance contracts
  • Access to high-impact roles across AI, FinTech, and modern infrastructure
  • A strong community of senior engineers, curated content, and role alerts
  • Work with fast-scaling companies where your impact is visible and valued
  • ๐Ÿ‘‰ Apply today:

    If youโ€™re a GenAI / LLM Agent Engineer who enjoys ownership, complex problem-solving, and building AI systems that operate reliably in real-world enterprise environments - weโ€™d love to hear from you!


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