Artificial Intelligence Engineer - LLM/Generative AI

Role : AI/ML Engineer Large Language Models (LLMs & GenAI)

Experience Required : 15+ years (with at least 7.5 years in LLMs).

Education : Minimum 15 years of full-time education.

Job Summary :

We are looking for a highly experienced and technically proficient AI/ML Engineer to join our team and drive the development of AI-powered applications using Large Language Models (LLMs), Generative AI, and advanced machine learning techniques.

In this role, you will be responsible for building and deploying production-ready AI solutions, leading LLM implementations, and collaborating with cross-functional teams to deliver scalable and high-performance AI systems on cloud or on-premise environments.

Key Responsibilities :

- Act as a Subject Matter Expert (SME) in LLMs and Generative AI within the AI/ML engineering team.

- Design, build, and deploy AI/ML pipelines and applications using LLMs and deep learning models.

- Integrate GenAI models (e.g., GPT, BERT, RAG architectures) into enterprise-grade solutions.

- Lead and manage team efforts and project delivery.

- Collaborate across teams to drive architecture, design, and implementation strategies.

- Conduct code reviews and ensure adherence to engineering best practices.

- Apply advanced techniques including neural networks, chatbots, and image processing.

Must-Have Skills :

- Strong experience (7.5+ years) with Large Language Models (LLMs) and Generative AI.

- Deep understanding of machine learning algorithms such as regression, clustering, decision trees.

- Hands-on with data preprocessing, data cleaning, transformation, and normalization.

- Experience deploying models on cloud platforms (Azure, AWS, GCP) or on-premise environments.

- Knowledge of data visualization tools such as Power BI or Tableau.

- Proficiency in programming languages like Python and ML frameworks (e.g., TensorFlow, PyTorch).

Good to Have :

- Experience with MLOps tools such as MLflow, Kubeflow, or FastAPI.

- Exposure to LangChain, RAG pipelines, or Transformer-based architectures.

- Knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.

Additional Information :

The candidate should have a minimum of 15 years of total experience, with at least 7.5 years in LLMs/GenAI.
Must have completed 15 years of full-time education.