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Senior AI Agent Developer (Python)

1 month ago
Bulgaria, North Macedonia, Poland, Romania, Ukraine, Turkey
Senior
AI Engineer
Software Development
AWS Azure CI/CD Docker FastAPI Flask GCP Git Grafana Helm Kafka 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 4

Description

  • Design and develop intelligent agents using Python and Autogen (or similar frameworks).
  • Integrate LLMs (OpenAI, Anthropic, Google, etc.) into multi-agent workflows in collaboration with AI/ML teams.
  • 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 across SQL, NoSQL, columnar, and vector databases.
  • Contribute to agent orchestration logic, tool integrations, and interaction flows for autonomous systems.
  • Support system scalability, performance, and maintainability using clean architecture principles.
  • Work closely with solutions architects, data engineers, and other developers to align implementation with the architecture vision.
  • Write tests, maintain documentation, and participate in code reviews to ensure quality and operability.

Requirements

  • 4+ years of Python development experience, including asynchronous programming.
  • Hands-on experience with LLM agent frameworks (especially Microsoft Autogen; familiarity with LangChain, CrewAI, LlamaIndex is valued).
  • Experience with at least one cloud platform: Azure, AWS, or GCP.
  • Strong web development and modern API design experience (e.g., FastAPI, Flask).
  • Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis) and vector/columnar storage concepts.
  • Understanding of machine learning basics such as inference pipelines, embeddings, and vector stores.
  • Familiarity with containerized development (Docker) and cloud deployment practices.
  • Solid Git workflow experience and knowledge of CI/CD pipelines.
  • English proficiency (Intermediate or higher).
  • Nice to have: experience building multi-agent systems or using agent orchestration tools; exposure to RAG and vector search (FAISS, Weaviate); experience with streaming/event-driven architectures or message queues (Kafka, RabbitMQ, Kinesis); knowledge of observability tools (Prometheus, Grafana, OpenTelemetry); experience with DevOps and infrastructure-as-code (Terraform, Helm).

Interested in this position?

Apply directly on the company website

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