Job Description
About Position:
We are seeking Agentic AI Developers with LLM & Graph Databases experience.
- Role: Agentic AI Developer
- Location: All Persistent Locations
- Experience: 6 to 12 Years
- Job Type: Full Time Employment
What You'll Do:
- Design & Build Agentic Systems: Architect multi-agent workflows (planning, tool-use, memory, reflection, corrective loops) for end-to-end tasks.
- Implement robust MCP servers to expose tools/data/services to agents with clear contracts, auth, and observability.
- Backend & Integration (Python): Develop modular Python services/SDKs for agent orchestration, tool adapters, prompt pipelines, and state management. Implement retrieval, function calling, and structured outputs; enforce schemas and guardrails.
- Cloud & MLOps (AWS): Deploy agent services on AWS (e.g., ECS/EKS/Lambda, API Gateway, S3, DynamoDB/RDS, CloudWatch, IAM).
- Containerize with Docker; automate CI/CD (CodePipeline/GitHub Actions) ...
We are seeking Agentic AI Developers with LLM & Graph Databases experience.
- Role: Agentic AI Developer
- Location: All Persistent Locations
- Experience: 6 to 12 Years
- Job Type: Full Time Employment
What You'll Do:
- Design & Build Agentic Systems: Architect multi-agent workflows (planning, tool-use, memory, reflection, corrective loops) for end-to-end tasks.
- Implement robust MCP servers to expose tools/data/services to agents with clear contracts, auth, and observability.
- Backend & Integration (Python): Develop modular Python services/SDKs for agent orchestration, tool adapters, prompt pipelines, and state management. Implement retrieval, function calling, and structured outputs; enforce schemas and guardrails.
- Cloud & MLOps (AWS): Deploy agent services on AWS (e.g., ECS/EKS/Lambda, API Gateway, S3, DynamoDB/RDS, CloudWatch, IAM).
- Containerize with Docker; automate CI/CD (CodePipeline/GitHub Actions) ...
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