Middle AI Engineer (AI Agents)

TL;DR

Middle AI Engineer (AI Agents): Building and optimizing intelligent agent systems using Python and frameworks like Microsoft Autogen with an accent on LLM integration and multi-agent orchestration. Focus on designing scalable cloud-native services, implementing robust API architectures, and managing complex data pipelines for AI-driven platforms.

Company

hirify.global is an innovative technology company focused on delivering AI-driven platforms and software solutions.

What you will do

• Design and develop intelligent agents using Python and frameworks like Autogen.
• Collaborate with AI/ML teams to integrate LLMs into multi-agent workflows.
• Develop and maintain cloud-native applications on Azure, AWS, or GCP.
• Create robust APIs and integrate them with internal and external systems.
• Implement data ingestion and storage logic using SQL, NoSQL, and vector databases.
• Support system scalability and maintainability using clean architecture principles.

Requirements

• 4+ years of experience in Python development, including async programming.
• Hands-on experience with LLM agent frameworks such as Autogen, Langchain, or Crew AI.
• Solid knowledge of at least one cloud platform (Azure, AWS, or GCP).
• Strong understanding of web development and modern API design (FastAPI, Flask).
• Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, Redis).
• English proficiency: Intermediate (B1) or higher.

Nice to have

• Experience building multi-agent systems or using agent orchestration tools.
• Exposure to RAG and vector search technologies (FAISS, Weaviate).
• Familiarity with streaming data, event-driven architecture, and message queues.
• Knowledge of observability tools like Prometheus, Grafana, or OpenTelemetry.
• Experience with DevOps tools and infrastructure-as-code (Terraform, Helm).

Culture & Benefits

• Fully remote work environment under the Symphony Anywhere program.
• Opportunity to work on cutting-edge AI and LLM-based product features.
• Collaborative environment working closely with architects and data engineers.
• Focus on clean architecture and modern development practices.