Advanced AI Solutions Expert

6 days ago

Pune, Maharashtra, India beBeeArtificial Full time US$ 2,00,000 - US$ 2,50,000
AI Engineer & AI Researcher

We are looking for a talented and experienced AI Engineer & Researcher with expertise in deploying production-grade projects using strong skills in Agentic AI.

This role requires a highly skilled professional with experience in NLP, Computer Vision, and LLM-based agentic systems. The successful candidate will design, build, fine-tune, and deploy production-grade LLM agents and multi-modal AI applications that address real-world business challenges.

About the Role

The ideal candidate will have a proven track record of delivering innovative AI solutions to meet complex business needs. They will work closely with our team to develop cutting-edge AI technologies and drive business growth through data-driven insights.

Key Responsibilities:
  • Design and implement LLM-powered agents and NLP solutions tailored to business needs.
  • Develop 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.
  • 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).
  • 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.
  • Read, interpret, and implement AI/Agent research papers into practical production-ready solutions.
  • 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).
  • Diagnose and resolve model inaccuracies, system integration issues, and performance bottlenecks.
  • Apply advanced debugging techniques to troubleshoot deployment errors, data inconsistencies, and unexpected agent behaviors.
  • Quickly unlearn outdated practices and adapt to emerging GenAI and Agentic AI technologies.
  • Contribute to a culture of innovation by experimenting, prototyping, and scaling cutting-edge AI solutions.
Required Skills & Experience:
  • 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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