Middle AI engineer (AI Agents)

Symphony Solutions is a Cloud- and AI-driven technology company headquartered in the Netherlands, delivering both world-class services and innovative products. With a remote-first mindset, the company has a global presence spanning over 20 countries. It provides custom software solutions for Airline, Healthcare, iGaming, E-learning, e-Commerce, and Supply Chain sectors.

• 4+ years of experience in Python development, including async programming
• Hands-on experience with LLM agent frameworks, especially Microsoft Autogen, Langchain, Crew AI, LlamaIndex
• Solid knowledge of cloud platforms: Azure, AWS, or GCP (at least one required)
• Strong understanding of web development and modern API design (e.g., FastAPI, Flask)
• Good experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis)
• Understanding of Machine Learning basics (e.g., inference pipelines, embeddings, vector stores)
• Familiarity with containerized development (Docker) and cloud deployment practices
• Solid Git workflow experience, CI/CD pipelines knowledge
• English proficiency (Intermediate or higher)

Nice to Have:

• Experience building multi-agent systems or working with agent orchestration tools
• Exposure to RAG (Retrieval-Augmented Generation) and vector search (e.g., FAISS, Weaviate)
• Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI
• Hands-on experience with streaming data, event-driven architecture, or message queues (e.g., Kafka, RabbitMQ, Kinesis, MQ)
• Knowledge of observability tools (e.g., Prometheus, Grafana, OpenTelemetry)
• Experience with DevOps tools and infrastructure-as-code (Terraform, Helm)

• Design and develop intelligent agents using Python and Autogen framework (or similar frameworks)
• Collaborate with AI/ML teams to integrate LLMs (e.g., OpenAI, Anthropic, Google) into multi-agent workflows
• Develop and maintain cloud-native applications and services (Azure / AWS / GCP)
• Create robust APIs and integrate them with external/internal systems
• Implement data ingestion, transformation, and storage logic using SQL, NoSQL, Columnar and Vector DBs
• 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 architecture vision
• Write tests, maintain documentation, and participate in code reviews