Python Developer

Symphony Solutions is an IT services and IT consulting company seeking a Python developer to join an innovative AI team focused on building intelligent agents using Microsoft Autogen and integrating them into AI-driven platforms.

• 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, etc.) 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.

• 4+ Years of experience in Python development, including async programming;
• Hands-on experience with LLM agent frameworks, especially Microsoft Autogen, Langchain, Crew AI, LlamaIndex, etc;
• 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;
• Intermediate or higher English proficiency;
• 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 and its cloud versions like Kinesis and MQ), Knowledge of observability tools (e.g., Prometheus, Grafana, OpenTelemetry), Experience with DevOps tools and infrastructure-as-code (Terraform, Helm, etc.).

• No conditions specified