Middle AI Engineer, AI Agents

🔥 3 hours ago

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Symphony Solutions

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🤖 Artificial Intelligence

🎮 Gaming

☁️ SaaS

Artificial Intelligence • Gaming • SaaS

Symphony Solutions is a software company that builds AI-powered platforms and services focused on iGaming and enterprise software. Their public site highlights products such as BetSymphony (a turnkey iGaming / sportsbook and online casino platform), BetHarmony (an AI-powered conversational agent and bet recommendation system), Harmony (an AI assistant for customer service), and Symphony Cloud (a cloud development environment and DevOps tooling). They market AI-driven business transformation services and platform solutions for operators and enterprises, and also reference a corporate charity initiative.

📋 Description

• 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

🎯 Requirements

• 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 • 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 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.)