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
Key Responsibilities
Technical Skills Required
Benefits & Perks
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.
Youโll 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, youโll take ownership of agent design, orchestration, and deployment, working in a highly technical, fast-moving engineering environment.
Your Role:
Youโll 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 Youโll 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
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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
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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
๐ Apply today:
If youโre a GenAI / LLM Agent Engineer who enjoys ownership, complex problem-solving, and building AI systems that operate reliably in real-world enterprise environments - weโd love to hear from you!
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