Senior AI Engineer

6 days ago

Bharatpur, Rajasthan, India beBeeArchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Key GenAI Architect Role

We seek an experienced professional to lead the development of production-grade LLM agents and multi-modal AI applications.

This key position requires strong expertise in NLP, Computer Vision, and LLM-based agentic systems. The ideal candidate will design, build, fine-tune, and deploy scalable, robust, and efficient AI solutions that solve real-world business challenges.

Main Responsibilities:Agent Design & Development
  • Create LLM-powered agents and NLP solutions tailored to business needs.
  • Build multi-agent and multi-modal AI applications/frameworks ensuring interactivity, latency optimization, failover, and usability.
  • Apply advanced design principles for structured outputs, tool usage, speculative decoding, AST-Code RAG, streaming, and async/sync processing.
Hands-on Coding & Integration
  • Write, test, and maintain clean, scalable, and efficient Python code for LLMs and AI agents.
  • Implement fine-tuning, embeddings, and prompt engineering with a focus on cost, latency, and accuracy.
  • Integrate models with vector databases (Milvus, Qdrant, ChromaDB, CosmosDB, MongoDB).
Performance Monitoring & Research
  • Monitor and optimize LLM agents for latency, scalability, robustness, and explainability.
  • Implement observability and guardrails strategies for enterprise-safe AI deployments.
  • Handle model drift, token consumption optimization, and error recovery mechanisms.
Required Skills & Qualifications:
  • 5–9 years total experience, with 4+ years in NLP, CV, and LLMs.
  • Strong expertise in GenAI, LLMs, RAG pipelines, embeddings, and vector databases.
  • Proficiency in Python with strong debugging and system design skills.
  • Hands-on experience with Agentic AI frameworks (LangChain Agents, AutoGen, CrewAI, Temporal, DSPy).
  • Proven record of production-grade AI deployments (not just POCs).
  • Cloud experience: Azure (preferred), AWS, or GCP.
  • Knowledge of AI orchestration, evaluation, guardrails, and observability tools (Arize, Weights & Biases, etc.).

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