Senior Large Language Model Engineer

1 day ago

Madurai, Tamil Nadu, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

We are seeking an experienced Artificial Intelligence Architect to lead the design, development and deployment of large-scale AI solutions. The ideal candidate will bridge the gap between business requirements and technical implementation, with deep expertise in generative AI and modern MLOps practices.

Key Responsibilities
  • AI Solution Design & Implementation: Architect end-to-end AI systems leveraging large language models and generative AI technologies.
  • Design scalable, production-ready AI applications that meet business objectives and performance requirements.
  • Evaluate and integrate LLM APIs from leading providers (OpenAI, Anthropic Claude, Google Gemini, etc.).
  • Establish best practices for prompt engineering, model selection, and AI system optimization.
Model Development & Fine-tuning
  • Fine-tune open-source models (Llama, Mistral, etc.) for specific business use cases.
  • Implement custom training pipelines and evaluation frameworks.
  • Optimize model performance, latency, and cost for production environments.
  • Stay current with latest model architectures and fine-tuning techniques.
Infrastructure & Deployment
  • Deploy and manage AI models at enterprise scale using containerization (Docker) and orchestration (Kubernetes).
  • Build robust, scalable APIs using FastAPI and similar frameworks.
  • Design and implement MLOps pipelines for model versioning, monitoring, and continuous deployment.
  • Ensure high availability, security, and performance of AI systems in production.
Business & Technical Leadership
  • Collaborate with stakeholders to understand business problems and translate them into technical requirements.
  • Provide technical guidance and mentorship to development teams.
  • Conduct feasibility assessments and technical due diligence for AI initiatives.
  • Create technical documentation, architectural diagrams, and implementation roadmaps.

Required Qualifications:

Experience:

7+ years of experience in machine learning engineering or data science.

Proven track record of delivering large-scale ML solutions.

Technical Skills:

Expert-level proficiency with LLM APIs (OpenAI, Claude, Gemini, etc.).

Hands-on experience fine-tuning transformer models (Llama, Mistral, etc.).

Strong proficiency in FastAPI, Docker, and Kubernetes.

Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).

Proficiency in Python and modern software development practices.

Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.

Core Competencies:

Strong understanding of transformer architectures, attention mechanisms, and modern NLP techniques.

Experience with MLOps tools and practices (model versioning, monitoring, CI/CD).

Ability to translate complex business requirements into technical solutions.

Strong problem-solving skills and architectural thinking.

Preferred Qualifications:

Experience with vector databases and retrieval-augmented generation (RAG) systems.

Knowledge of distributed training and model parallelization techniques.

Experience with model quantization and optimization for edge deployment.

Familiarity with AI safety, alignment, and responsible AI practices.

Experience in specific domains (finance, healthcare, legal, etc.).

Advanced degree in Computer Science, AI/ML, or related field.

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