Symphony Solutions

Symphony Solutions is a Cloud and Agile transformation company headquartered in the Netherlands, with delivery centers in Ukraine, Poland, Macedonia, and The Netherlands. Founded in 2008, the company is now 600 people with over 35 international clients...

Internet Software & Services

Information Technology

251-1K (510)

Founded 2008

6 open positions

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AI Engineering Tech Lead

3 months, 4 weeks ago

North Macedonia, Poland, Ukraine

Full-time

Lead

AI Engineer

Software Development

AWS Azure CI/CD FastAPI Flask Python SageMaker SQL

Apply Now

Symphony Solutions

Internet Software & Services

251-1K

Founded 2008

View All Jobs 6

Description

Lead the technical design and architecture of AI agent platforms and multi-agent workflows built on LangChain and LangGraph.
Develop AI agents and production-grade agent pipelines.
Integrate LLMs from providers such as OpenAI, Anthropic, and Azure OpenAI into system workflows.
Build and improve CI/CD, containerization, and infrastructure-as-code practices for the team.
Establish and maintain AI observability, including tracing, performance monitoring, cost tracking, and anomaly detection.
Mentor engineers through code reviews, architectural discussions, and knowledge-sharing sessions.
Collaborate with product managers, solution architects, and stakeholders to align technical implementation with business objectives.
Ensure reliability, scalability, and maintainability through clean architecture, automated testing, and deployment best practices.
Contribute to engineering standards, development workflows, and documentation practices.
Support technical solutions for AI-oriented proposals during pre-sale cycles.

Requirements

5+ years of software engineering experience with a strong focus on AI/ML systems.
Expert-level Python skills, including async programming and design patterns.
Demonstrated experience building AI agents and multi-agent systems using LangChain and LangGraph.
Strong practical knowledge of LLM integration patterns, including prompt engineering, function/tool calling, RAG, embeddings, and vector search.
Extensive experience with AWS and/or Azure, including deployment, scaling, and management of AI workloads.
Solid understanding of model training, evaluation, inference pipelines, and the broader ML development lifecycle.
Strong CI/CD pipeline expertise.
Hands-on experience with containerization and orchestration in production environments.
Practical experience with infrastructure-as-code tools for managing cloud resources reliably and repeatably.
Experience implementing AI observability.
Proficiency with AI tools for everyday tasks such as Claude Code, Cursor, and advanced prompting.
Experience designing and building robust APIs with FastAPI, Flask, or similar frameworks.
Proficiency with SQL and NoSQL databases.
Ability to lead technical discussions, conduct meaningful code reviews, and mentor team members.
Upper-Intermediate English or higher.
Preferred: high knowledge of core ML frameworks.
Preferred: hands-on experience with AWS SageMaker and the broader AWS ML ecosystem.
Preferred: solid understanding of the full ML lifecycle.

Interested in this position?

Apply directly on the company website

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