Senior AI Engineer (Agentic AI / AWS)

Gramian Consulting; Poland; On-site; PLN 390,000 - 564,000; Full time

Job summary

Gramian Consultancy is seeking Senior AI Engineers to design, build, and deploy production-grade autonomous AI agents and multi-agent systems for enterprise use. They will focus on reusable architecture, agent orchestration, and cloud deployment using AWS.

You will collaborate with multiple squads across Europe, ensure secure and scalable AI solutions, and advance MLOps practices while adhering to regulatory considerations in financial sectors.

Qualifications

• 5–10 years of software, data, or AI engineering experience.
• Strong Python development experience.
• Proven track record designing and deploying AI/LLM-powered applications.
• Experience with agent orchestration frameworks (LangChain, AutoGen, CrewAI) or similar.
• Experience implementing enterprise AI integration patterns (tool calling, structured outputs).
• Public cloud deployment experience, preferably AWS.
• Experience with MLOps/AIOps practices.
• Fluent professional English.

Responsibilities

• Architect and build production-grade autonomous AI agents and orchestration frameworks.
• Develop reusable agent patterns and standards across multiple 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

Skills

Python

LLM apps

Agent orchestration

AWS

MLOps

English

Tools

LangChain

AutoGen

CrewAI

MCP

A2A

Job description

About GramianGramian 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 GramianGramian 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 potential extension

COMMITMENT

Full-time

LOCATIONS

Europe-based, preferably CEE; remote, with potential future hybrid work in Prague

PROCESS

Initial qualification followed by technical and client interviews

NOTES

Fluent English is required. Strong AWS experience is highly preferred.

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