
Advanced AI Platform Developer
24 hours ago
We are seeking an experienced developer to design, develop, and scale the AI Agent Framework that powers automation-first modules.
Key Responsibilities:
- Agent Architecture & Runtime: Architect and implement the core orchestration engine for AI agents, manage agent lifecycle functions such as spawn, pause, escalate, and terminate.
- LLM Integration & Prompt Engineering: Integrate LLM providers into agent workflows, create modular prompt templates with retry/fallback mechanisms.
- Backend API & Microservices Development: Develop microservices for agent orchestration and skill execution, create APIs to register agents, execute agent actions, and manage runtime memory.
- Data Integration & Task Routing: Build connectors to integrate structured and unstructured data sources, route incoming data streams to relevant agents based on workflow and business rules.
- DevOps, Monitoring, and Scaling: Deploy the agent platform using Docker and Kubernetes, implement async task systems for agent task queues, set up observability to monitor agent usage, task success/failure, latency, and hallucination rates.
Ideal Candidate Profile:
- 2–4 years of experience in backend engineering, ML engineering, or agent orchestration.
- Strong command over Python (FastAPI, asyncio, Celery).
- Experience with LangChain, LlamaIndex, Haystack, or other orchestration libraries.
- Hands-on with OpenAI, Anthropic, or similar LLM APIs.
- Understanding of modern AI agent frameworks.
- Familiarity with multi-tenant API security and SaaS architecture.
- Bonus: Frontend collaboration experience to support UI for agents and dashboards.
Benefits: Join a dynamic team focused on innovation and excellence. This is an exciting opportunity to drive cutting-edge technology forward.
Other Details: The ideal candidate will have excellent problem-solving skills, be comfortable working in a fast-paced environment, and possess strong communication skills.
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