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 and 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 pre-processing, tokenization, and embedding generation techniques.
- Work with vector databases (e.g., Pinecone, Deviate, 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.
Skills:
- Overall 7+ years of experience and relevant 4+ years of Gen AI.
- 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, Lang Chain, 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 ML Ops tools and practices (e.g., ML flow, 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.
