Expert Large Language Model

5 days ago

Hubli, Karnataka, India beBeeNlp Full time ₹ 40,00,000 - ₹ 50,00,000

Expert Large Language Model (LLM) Engineer Wanted

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We are seeking an experienced AI Engineer to join our team at a leading technology company. This role requires a highly motivated individual with 4–6 years of hands-on experience in developing, configuring, and fine-tuning Large Language Models (LLMs) and Small Language Models (SLMs), Agents.

Key Responsibilities:

  • Design, configure, and deploy LLM-based solutions including open-source models and APIs.
  • Build Agents, Agentic Flows, Configure MCP.
  • Develop and fine-tune Small Language Models (SLMs) for specific enterprise verticals.
  • Write efficient Python code for training pipelines, model orchestration, inference services, and dataset management.
  • Build, clean, and label datasets for supervised fine-tuning and evaluation.
  • Conduct experimentation and benchmarking across models to measure accuracy, latency, and cost-performance trade-offs.
  • Apply Retrieval-Augmented Generation (RAG) techniques, embedding models, and vector database integrations.
  • Evaluate security, compliance, and scalability of deployed LLM solutions.
  • Collaborate with cross-functional teams to integrate models into enterprise platforms.

Required Skills and Qualifications:

  • 4–6 years of experience in AI/ML development, with a strong focus on NLP and GenAI.
  • Developing and Deploying Agents Understanding of MCP, Agentic flows.
  • Hands-on expertise in LLMs like GPT, LLaMA, Falcon, Mistral, or similar open models.
  • Proficiency in Python and key libraries.
  • Experience with dataset creation, curation, and labeling for fine-tuning tasks.
  • Knowledge of vector databases, embeddings, and similarity search.
  • Familiarity with model serving frameworks.
  • Ability to optimize model inference for latency and cost efficiency.

Benefits Include:

  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.
  • Competitive salary and benefits package.

Other Opportunities:

  • Remote work options available.
  • Flexible working hours.

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