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AI Application Engineer - LangGraph & Agentic AI

Full Time Remote Lead

Job description

We are looking for an experienced AI Application Engineer to design and build intelligent applications powered by LLMs, LangGraph, and modern agentic AI technologies.

You will focus on transforming business requirements into AI applications capable of reasoning through tasks, retrieving information, interacting with tools and enterprise systems, requesting human approval when required, and completing business processes.

This role sits at the intersection of AI engineering, software development, workflow automation, and business process transformation.

Requirements

Agentic AI Application Development

  • Design and develop AI applications using LangGraph and LLM technologies.
  • Build agents capable of executing complex, multi-step business processes.
  • Design stateful workflows incorporating reasoning, tool usage, validation, approvals, and exception handling.
  • Develop single-agent and multi-agent solutions where appropriate.
  • Translate business requirements into practical agentic AI architectures.

LLM Application Engineering

  • Integrate LLMs into production applications.
  • Develop prompt strategies, structured outputs, tool calling, and context-management approaches.
  • Select appropriate models based on accuracy, capability, latency, security, and cost.
  • Develop mechanisms to improve reliability and reduce hallucinations.
  • Implement appropriate guardrails around AI-generated decisions and actions.

RAG and Enterprise Knowledge

  • Design and implement Retrieval-Augmented Generation (RAG) solutions.
  • Connect AI applications to enterprise documents, databases, APIs, and knowledge repositories.
  • Develop retrieval and ranking strategies to provide agents with relevant context.
  • Work with embeddings and vector databases.
  • Implement data and context pipelines supporting AI agents.

Business Process Automation

  • Analyse business processes and identify opportunities for agentic automation.
  • Design AI workflows that combine LLM reasoning with deterministic business logic.
  • Build agents capable of retrieving information, making decisions, invoking tools, and completing actions.
  • Implement human-in-the-loop approval and escalation processes.
  • Ensure automated actions are controlled, auditable, and reversible where appropriate.

Evaluation and Quality

  • Develop evaluation frameworks for AI applications and agent workflows.
  • Define metrics covering accuracy, task completion, reliability, latency, and cost.
  • Build automated tests for prompts, agents, tools, and end-to-end workflows.
  • Analyse failures and continuously improve agent behaviour.
  • Use observability and evaluation data to optimise production systems.

Production Deployment

  • Deploy and operate AI applications in cloud and enterprise environments.
  • Implement monitoring, logging, tracing, and performance management.
  • Design resilient workflows with retries, timeouts, fallbacks, and recovery mechanisms.
  • Work with DevOps and platform teams to establish appropriate deployment and CI/CD practices.

Cross-Functional Collaboration

  • Work closely with product managers, business analysts, software engineers, data scientists, architects, and business stakeholders.
  • Communicate AI capabilities, limitations, risks, and implementation options.
  • Help organisations identify realistic and valuable use cases for agentic AI.

Required Experience

  • Commercial experience developing AI/LLM applications.
  • Hands-on experience with LangGraph and agentic workflow development.
  • Strong Python development experience.
  • Experience deploying AI applications into production.
  • Strong understanding of LLMs, RAG, tool calling, structured outputs, and prompt engineering.
  • Experience integrating AI applications with APIs, databases, enterprise systems, or SaaS platforms.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with AI evaluation, monitoring, and observability.

Desirable Skills

  • LangChain / LangSmith
  • Multi-agent systems
  • AI workflow orchestration
  • Vector databases
  • Kubernetes
  • Docker
  • FastAPI
  • Data pipelines
  • MLOps
  • AI security and governance
  • Enterprise process automation
  • Experience with financial services, healthcare, retail, manufacturing, or other complex enterprise environments

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Required skills

docker accuracy validation healthcare retail manufacturing monitoring databases reliability software development financial services aws kubernetes prompt engineering gcp azure vector databases embeddings apis devops cloud environments hands-on experience architects observability tool calling fastapi performance management cross-functional collaboration cost data pipelines rag langgraph deployment ci/cd practices workflow automation agentic ai llms multi-agent systems mlops commercial experience logging langchain ai governance production systems ai engineering product managers production deployment automated tests saas platforms enterprise systems data scientists tool usage python development software engineers evaluation frameworks latency use cases ai applications retrieval-augmented generation human-in-the-loop enterprise environments exception handling tracing approvals ai security business stakeholders business analysts guardrails langsmith reasoning retries business process automation agent workflows end-to-end workflows platform teams desirable skills approval processes ai capabilities structured outputs hallucinations escalation processes ai evaluation business process transformation agentic ai architectures task completion timeouts llm technologies ai risks production applications multi-agent solutions ai observability auditable fallbacks knowledge repositories recovery mechanisms ai limitations ai application engineer agentic ai application development stateful workflows single-agent solutions llm application engineering prompt strategies context-management enterprise documents retrieval strategies ranking strategies deterministic business logic reversible actions resilient workflows implementation options required experience ai/llm applications ai monitoring ai workflow orchestration enterprise process automation

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Company information

Company
Belmont Lavan Ltd
Location
Francescas, France
France
Posted
1 hour ago

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