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Open nowPosted 4 days ago

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

Workable (global search)108,016 open roles

Where
Bulgaria
Work mode
Remote
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Your applicationOpen nowSenior AI Engineer (Agentic AI / AWS) - REMOTE EUWorkable (global search) · Bulgaria

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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
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  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 4 days ago

Workable (global search) median: 7 days open

The posting

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.
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