AI Developer - Hyderabad - 17 Jun (Wed) - Virtual Interview
- Source: Naukri
- Tata Consultancy Services
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
- Agentic Orchestration: Architect, build, and maintain complex multi-agent systems and cyclic workflows using LangGraph and LangChain. [1, 2]
- Multi-Modal RAG Pipelines: Develop retrieval systems that process, embed, and synthesize diverse data types (text, images, audio, video) into unified, high-context LLM interactions. [1, 2, 3, 4, 5]
- Production Resilience: Implement defensive programming for external API calls, vector database lookups, and model inference to ensure 99.9% uptime. [1]
- Cost & Budget Governance: Design architectural mechanisms to halt runaway loops, bound cumulative token usage, and monitor financial/inference budgets at the per-request and session level. [1, 2]
- Observability: Integrate observability tools (such as LangSmith) to trace complex execution paths, monitor state transitions, and audit multi-modal processing steps
Skills
- LangGraph
- LangChain
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