# Senior AI Engineer (Agentic AI / AWS) - REMOTE

**Company:** [Gramian Consulting Group](null/companies/kANY7hHLXDH7fUqyifRLmf.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Talent Solutions

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## Description

### About Gramian

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

### About the Role

Our client is a Big4 Consultancy group that works with leading financial institutions on **AI-driven transformation, automation, advanced analytics, and financial crime prevention**. Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments.

We are looking for **Senior AI Engineers** to design, build, and deploy production-grade **autonomous agents, multi-agent systems, and LLM-powered enterprise applications**. The role will work across multiple delivery squads and focus on reusable architecture, agent orchestration, tool integration, cloud deployment, and evaluation of long-running AI workflows.

**CONTRACT:** Contractor assignment, expected October 2026 – July 2027, with extension available (and retainer rate)

**COMMITMENT:** Full-time

**LOCATIONS:** REMOTE 100%, Europe-based and EU authorization

**PROCESS:** Initial qualification followed by technical and client interviews

**NOTES: Fluent English is required. Must have authorization for EU work.**

### Responsibilities

-   Architect and build **production-grade autonomous AI agents** and multi-agent orchestration frameworks.
-   Develop reusable agent patterns and technical standards across multiple engineering squads.
-   Integrate **LLMs with APIs, databases, proprietary tools, and enterprise systems**.
-   Implement reliable tool-calling and structured-output workflows.
-   Design and optimize prompt strategies, context management, memory, and agent state.
-   Build stable, long-running agent workflows with appropriate error handling and recovery mechanisms.
-   Implement **monitoring, logging, tracing, and evaluation frameworks** for agent behavior and model outputs.
-   Support the deployment of AI systems on public cloud infrastructure, primarily AWS.
-   Apply MLOps/AIOps practices across versioning, testing, monitoring, and evaluation.
-   Collaborate with engineering, data, cloud, and business teams to deliver secure and scalable AI solutions.

## Requirements

-   **5–10 years of professional software, data, or AI engineering experience**.
-   Strong hands-on development experience with **Python**.
-   Proven experience designing and integrating **LLM-powered or agentic AI applications**.
-   Experience with agent orchestration frameworks such as **LangChain, AutoGen, CrewAI**, or comparable technologies.
-   Strong experience with enterprise AI integration patterns including **MCP, A2A, structured outputs, tool calling, or skills-based architectures**.
-   Professional experience designing and deploying AI solutions on **public cloud platforms**, preferably AWS.
-   Experience with **MLOps/AIOps practices**, including versioning, testing, monitoring, and evaluations.
-   Fluent professional **English**.