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Middle AI engineer (AI Agents)

2 hours, 10 minutes ago
North Macedonia, Albania, Bulgaria, Poland, Ukraine, Turkey
Full-time
Mid Level
AI Engineer
Software Development
AWS Azure CI/CD Docker FastAPI Flask GCP Git Grafana Helm Kafka Machine Learning MongoDB OpenTelemetry PostgreSQL Prometheus Python RabbitMQ Redis SQL Terraform
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Symphony Solutions

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
251-1K
Founded 2008
View All Jobs 10

Description

  • Design and develop intelligent agents using Python and the Autogen framework or similar tools.
  • Collaborate with AI/ML teams to integrate LLMs into multi-agent workflows.
  • Develop and maintain cloud-native applications and services on Azure, AWS, or GCP.
  • Create and integrate robust APIs with external and internal systems.
  • Implement data ingestion, transformation, and storage logic across SQL, NoSQL, columnar, and vector databases.
  • Support scalability, performance, and maintainability using clean architecture principles.
  • Contribute to agent orchestration logic, tool integrations, and interaction flows.
  • Work closely with the Solutions Architect to align implementation with the architecture vision.
  • Write tests, maintain documentation, and participate in code reviews.

Requirements

  • 4+ years of experience in Python development, including async programming.
  • Hands-on experience with LLM agent frameworks, especially Microsoft Autogen, LangChain, CrewAI, or LlamaIndex.
  • Experience with at least one major cloud platform: Azure, AWS, or GCP.
  • Strong understanding of web development and modern API design, such as FastAPI or Flask.
  • Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, or Redis.
  • Understanding of machine learning basics, including inference pipelines, embeddings, and vector stores.
  • Familiarity with containerized development using Docker and cloud deployment practices.
  • Solid Git workflow experience and knowledge of CI/CD pipelines.
  • English proficiency at intermediate level or higher.
  • Experience building multi-agent systems or working with agent orchestration tools is preferred.
  • Exposure to RAG and vector search tools such as FAISS or Weaviate is preferred.
  • Familiarity with LangChain, LangGraph, LlamaIndex, or CrewAI is preferred.
  • Experience with streaming data, event-driven architecture, or message queues such as Kafka or RabbitMQ, including cloud versions like Kinesis or MQ, is preferred.
  • Knowledge of observability tools such as Prometheus, Grafana, or OpenTelemetry is preferred.
  • Experience with DevOps tools and infrastructure-as-code such as Terraform or Helm is preferred.

Interested in this position?

Apply directly on the company website

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