Senior AI Engineer
New
G
Gramian ConsultancyFinancial Services AI
Poland. Czechia. Bosnia and Herzegovina. Croatia. Romania. FranceContractSenior
Salary not disclosed
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Job Details
- Languages
- Fluent professional English
- Experience
- 5–10 years
- Required Skills
- AWSPythonCloud ComputingMLOpsLangChain
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, or CrewAI.
- 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.
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.
- 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.
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