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Middle AI Engineer (AI Agents)

4 weeks, 1 day 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 LLM Machine Learning MongoDB OpenTelemetry PostgreSQL Prometheus Python RabbitMQ Redis REST API 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 6

Description

  • Design and develop intelligent agents using Python and the Microsoft 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 robust APIs and integrate them with external and internal systems.
  • Implement data ingestion, transformation, and storage logic using SQL, NoSQL, columnar, and vector databases.
  • Support system 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 and concurrency patterns.
  • Hands-on experience with LLM agent frameworks such as Microsoft AutoGen, LangChain, CrewAI, or LlamaIndex.
  • Experience with at least one cloud platform, with Azure preferred.
  • Strong understanding of web development and modern API design, including FastAPI or Flask.
  • Experience with SQL databases such as PostgreSQL and NoSQL databases such as 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.
  • Preferred experience building multi-agent systems beyond single-agent bots.
  • Preferred exposure to RAG and vector search tools such as FAISS or Weaviate.
  • Preferred familiarity with LangGraph, LangChain, LlamaIndex, or CrewAI.
  • Preferred hands-on experience with streaming data, event-driven architecture, or message queues such as Kafka, RabbitMQ, Kinesis, or SQS.
  • Preferred knowledge of observability tools such as Prometheus, Grafana, or OpenTelemetry.
  • Preferred experience with DevOps tools and infrastructure as code such as Terraform or Helm.

Interested in this position?

Apply directly on the company website

Apply Now

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