AI Application Engineer - LangGraph & Agentic AI

We are looking for an experienced Solution Architect with hands-on experience designing and deploying LangGraph-based AI solutions to lead the architecture of enterprise agentic AI platforms and applications. You will work with business and technology stakeholders to identify high-value AI opportunities and translate them into secure, scalable, and production-ready architectures. The role combines AI architecture, enterprise integration, cloud engineering, agentic AI, security, governance, and stakeholder leadership . You will be expected to understand LangGraph at a practical level and be able to challenge architectural decisions, guide engineering teams, and ensure that AI solutions can operate reliably at enterprise scale. Requirements AI Solution Architecture Lead the architecture and design of enterprise AI agent and agentic workflow solutions . Design LangGraph-based architectures for single-agent and multi-agent applications. Translate business requirements, processes, SLAs, security requirements, and technical constraints into solution architectures. Evaluate architectural alternatives and document key technical decisions and trade-offs. Define reusable architecture patterns for agentic AI solutions. Enterprise Agent Architecture Design architectures incorporating: LLMs LangGraph RAG Enterprise data APIs and business systems Workflow engines Human approval processes Observability Security and governance Define appropriate boundaries between AI reasoning and deterministic business logic. Design state management, persistence, recovery, and long-running agent workflows. Determine when to use single-agent, multi-agent, or conventional application architectures. Cloud and Platform Architecture Design scalable AI application architectures on AWS, Azure, or GCP . Define compute, networking, storage, API, security, and platform requirements. Design architectures suitable for enterprise-scale production workloads. Evaluate cloud services and AI platform capabilities…

Publié 16 Sept 2026

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 retriev…

Publié 15 Sept 2026

We are looking for an experienced Solution Architect with hands-on experience designing and deploying LangGraph-based AI solutions to lead the architecture of enterprise agentic AI platforms and applications. You will work with business and technology stakeholders to identify high-value AI opportunities and translate them into secure, scalable, and production-ready architectures. The role combines AI architecture, enterprise integration, cloud engineering, agentic AI, security, governance, and stakeholder leadership . You will be expected to understand LangGraph at a practical level and be able to challenge architectural decisions, guide engineering teams, and ensure that AI solutions can operate reliably at enterprise scale. Requirements AI Solution Architecture Lead the architecture and design of enterprise AI agent and agentic workflow solutions . Design LangGraph-based architectures for single-agent and multi-agent applications. Translate business requirements, processes, SLAs, security requirements, and technical constraints into solution architectures. Evaluate architectural alternatives and document key technical decisions and trade-offs. Define reusable architecture patterns for agentic AI solutions. Enterprise Agent Architecture Design architectures incorporating: LLMs LangGraph RAG Enterprise data APIs and business systems Workflow engines Human approval processes Observability Security and governance Define appropriate boundaries between AI reasoning and deterministic business logic. Design state management, persistence, recovery, and long-running agent workflows. Determine when to use single-agent, multi-agent, or conventional application architectures. Cloud and Platform Architecture Design scalable AI application architectures on AWS, Azure, or GCP . Define compute, networking, storage, API, security, and platform requirements. Design architectures suitable for enterprise-scale production workloads. Evaluate cloud services and AI platform capabilities…

Publié 15 Sept 2026