Senior GenAI Developer

6 days ago

Udaipur, Rajasthan, India beBeeArtificialintelligence Full time US$ 1,50,000 - US$ 2,50,000
AI Engineering Specialist

We are seeking a highly skilled AI engineering specialist to lead the development of our next-generation GenAI solutions.

About the Role

The ideal candidate will have extensive experience in designing, building, and deploying large-scale LLM-based systems that solve real-world business challenges. In this role, you will conceptualize, design, and implement cutting-edge AI applications that integrate NLP, Computer Vision, and multimodal capabilities.

Key Responsibilities
  • Model Design & Development:
  • Develop and fine-tune LLM-powered agents and NLP solutions tailored to business needs.
  • Design and build multi-agent and multi-modal AI 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.
  • Coding & Deployment:
  • 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.
  • Innovation & Continuous Learning:
  • Stay ahead of academic and industry trends in Agentic AI, multimodal AI, orchestration frameworks, and evaluation methodologies.
  • Experiment with new AI orchestration tools, evaluation frameworks, and observability platforms (Arize or similar).

Requirements:

  • 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.).

This is an exciting opportunity to leverage your technical expertise and passion for AI to drive business growth and innovation. If you are a motivated and experienced AI engineer looking to make a meaningful impact, we encourage you to apply.

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