GenAI Engineer

Project Description:

We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more.

Responsibilities:

• Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases.
• Build and fine-tune LLM-based applications such as:

- Chatbots

- Document Q&A systems

- Report generators

- Code assistants

- Summarization tools

• Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance.
• Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js.
• Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures.
• Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML.
• Monitor model performance, detect drift, and drive continuous improvement.
• Optimize inference performance and cost through model compression, quantization, and API optimization.
• Ensure compliance with AI ethics, security, and governance standards.
• Prepare and curate training datasets (structured/unstructured text, images, code).
• Apply data preprocessing, tokenization, and embedding generation techniques.
• Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval.
• Partner with business stakeholders to identify and shape impactful AI use cases.
• Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components.
• Support POCs, pilots, and full-scale implementations using agile methodologies.
• Document and present solution designs, technical findings, and outcomes to leadership and clients.

Mandatory Skills Description:

• Strong programming skills in Python (preferred), with experience in Java or Node.js.
• Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models.
• Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning.
• Familiarity with RAG pipelines, embedding models, and vector databases.
• Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services.
• Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML).
• Strong understanding of data engineering, data pipelines, and ETL workflows.
• Excellent problem-solving, communication, and stakeholder engagement skills.
• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.