- Design and implement scalable multi-agent systems, including orchestrator and tool-integrated agents
- Define agent workflows, communication protocols, and task decomposition strategies
- Integrate agents with LLMs, enterprise systems (ERP/CRM/POS), and real-time data pipelines
- Develop backend services and APIs to support agent tool ecosystems
- Build evaluation frameworks, guardrails, and fallback mechanisms for reliable AI systems
- Lead architecture discussions, code reviews, and mentor team members on best practices
- Collaborate with cross-functional teams to translate business needs into technical solutions
- Establish engineering standards, CI/CD pipelines, and contribute to platform scalability and reliability
- 5+ years of software engineering experience with at least 3 years in AI, RAG, or agent-based systems
- Hands-on experience with agent frameworks (Google ADK preferred, or Autogen, CrewAI, Microsoft Agents Framework)
- Strong understanding of multi-agent architecture, orchestration, and inter-agent communication
- Experience with LLM integrations (e.g., Gemini) and enterprise tool/API integrations
- Knowledge of RAG pipelines and vector databases (Vertex AI Search, Pinecone, Weaviate)
- Proficiency in backend development using Spring Boot, J2EE, or .NET
- Experience with microservices, REST APIs, and event-driven architectures
- Familiarity with GCP, Vertex AI, and MLOps practices
- Strong understanding of security (OAuth2, JWT), data governance, and enterprise integration patterns
- Deliver AI agent solutions for retail verticals such as: smart replenishment, dynamic pricing, customer service automation, loyalty recommendation, and fraud detection Work with retail stakeholders to define agent KPIs and build dashboards to monitor agent performance and ROI
- Continuously improve agents through feedback loops, fine-tuning, and prompt engineering
- Experience with retail-specific platforms: SAP Retail, Salesforce Commerce Cloud, Oracle Retail, or Manhattan
- Familiarity with LangChain, LangGraph, AutoGen, CrewAI, or other OSS agent frameworks.
