Senior Large Language Model Developer

3 days ago

Pune, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 15,60,000 - ₹ 26,12,000

Job Title:

We are seeking a highly skilled and motivated Artificial Intelligence Engineer with expertise in large language models, AI workflows, and machine learning.

This role combines deep technical knowledge in ML/AI with hands-on experience building intelligent, production-ready systems that enhance cybersecurity investigation, prioritization, and response.

You will work at the intersection of LLM-driven automation, workflow orchestration, and classical ML models to improve how alerts are prioritized, classified, and contextualized reducing fatigue and enabling faster, more effective decision-making.

Your work will directly influence the development of agentic AI systems, workflow automation, and recommendation engines within cloud security.

Key Responsibilities:

  • Build, fine-tune, and integrate large language models into existing systems.
  • Develop agentic workflows for investigation, classification, and automated response in cybersecurity.
  • Apply techniques like retrieval-augmented generation, prompt engineering, and fine-tuning for domain-specific tasks.

Technical Requirements:

  • Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification.
  • Apply both classical forecasting models and modern architectures.
  • Collect, preprocess, and transform structured and unstructured data.
  • Engineer features to maximize model interpretability and performance.

Collaboration & Documentation:

  • Work closely with data scientists, ML engineers, security researchers, and software teams to build end-to-end solutions.
  • Document models, workflows, and pipelines for clarity, reproducibility, and knowledge sharing.

Requirements:

  • Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or a related field.
  • 5+ years of experience in ML/AI, including 3+ years deploying production-grade systems.
  • Experience contributing to publications is a plus.

Preferred Skills:

  • Strong knowledge of machine learning algorithms for classification, clustering, ranking, and anomaly detection.
  • Proficiency with LLM frameworks and APIs.
  • Hands-on experience building workflow automation with LLMs and integrating them into applications.
  • Solid programming skills in Python.
  • Knowledge of NLP tasks.

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