Role Overview
We are looking for passionate and innovative GenAI Engineers to join our Generative AI Practice. The role offers an exciting opportunity to work on cutting-edge AI solutions, build PoCs and accelerators, and contribute to real-world implementations across domains such as digital transformation, automation, and intelligent applications.
You'll collaborate with senior architects and data scientists to design, develop, and fine-tune AI models using the latest LLMs, APIs, and AI toolkits.
Key Responsibilities
- Support the design and development of GenAI prototypes, solutions, and PoCs.
- Work with large language models (LLMs), prompt engineering, and AI / ML frameworks.
- Assist in integrating GenAI capabilities into existing enterprise systems and workflows.
- Research emerging GenAI technologies, tools, and frameworks (e.g., OpenAI, Anthropic, LangChain, Llama, Vertex AI).
- Support model training, testing, and performance evaluation.
- Document solution design, findings, and best practices for reusability.
- Collaborate with cross-functional teams (Cloud, Data, and Automation) in Practice.
Required Skills & Competencies
Good understanding of AI / ML fundamentals, NLP concepts, and model workflows.Hands-on experience or academic exposure to Python, TensorFlow, PyTorch, or similar frameworks.Basic knowledge of GenAI tools and frameworks such as LangChain, OpenAI APIs, Hugging Face, or Vertex AI.Interest in prompt engineering, LLM fine-tuning, and AI application development.Strong analytical, problem-solving, and research skills.Excellent communication and team collaboration abilities.Skills Required
Tensorflow, Pytorch, Python