Role Overview :

We are looking for highly skilled and innovative Gen AI Professionals to design, develop, and deploy advanced AI-driven solutions leveraging Generative AI, NLP, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Model Development.

The ideal candidate will possess strong expertise in building scalable AI systems, integrating LLMs into enterprise applications, and delivering impactful AI-powered solutions that enhance business efficiency and decision-making.

This role requires professionals who can bridge business requirements with cutting-edge AI technologies and contribute to building intelligent systems for automation, insights, and user engagement.

Key Responsibilities :

- Design and develop Generative AI solutions for enterprise and customer-facing applications

- Build and deploy AI-powered applications using LLMs, NLP, and advanced machine learning techniques

- Develop and optimize RAG-based architectures for intelligent knowledge retrieval and contextual response generation

- Integrate LLM APIs and AI services into enterprise systems and business workflows

- Fine-tune AI/ML models to improve performance, accuracy, and relevance

- Build scalable AI pipelines for data processing, model inference, and deployment

- Develop prompt engineering strategies to optimize AI model responses

- Collaborate with product, engineering, and business teams to identify AI use cases and solution opportunities

- Evaluate AI model outputs and continuously improve performance through testing and monitoring

- Ensure AI solutions follow responsible AI principles, governance, and compliance standards

- Troubleshoot model performance issues and optimize inference efficiency

- Stay updated with advancements in Gen AI, NLP, LLM frameworks, and AI technologies

Key Result Areas (KRAs) :

- Deliver scalable and high-performing Gen AI solutions aligned with business goals

- Improve AI model accuracy, contextual understanding, and response quality

- Enable faster adoption of AI-driven solutions across business functions

- Reduce manual effort through intelligent automation and AI-assisted workflows

- Improve efficiency of RAG pipelines and enterprise knowledge retrieval systems

- Ensure successful deployment and production stability of AI applications

- Enhance customer experience through intelligent AI-powered solutions

- Optimize model performance, latency, and operational efficiency

- Contribute to innovation by identifying new AI use cases and business opportunities

- Maintain compliance, governance, and responsible AI practices across implementations

Required Technical Skills :

- Strong expertise in Generative AI

- Hands-on experience with Natural Language Processing (NLP)

- Strong understanding of Large Language Models (LLMs) and enterprise use cases

- Experience in LLM Integration and AI API implementations

- Strong knowledge of Retrieval-Augmented Generation (RAG) architecture

- Experience in AI Model Development, Fine-Tuning, and Optimization

- Strong programming skills in Python

- Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face

- Knowledge of vector databases and embedding models

- Experience in prompt engineering and AI response optimization

- Strong understanding of machine learning lifecycle and model deployment

- Experience with cloud platforms such as AWS, Azure, or GCP

- Knowledge of MLOps and scalable AI deployment practices

- Experience with APIs, microservices, and system integration

Required Professional Skills :

- Strong analytical and problem-solving abilities

- Excellent communication and stakeholder management skills

- Ability to translate business problems into AI-driven solutions

- Strong execution and ownership mindset

- Ability to work in fast-paced and innovation-driven environments

- Strong collaboration and cross-functional teamwork skills

- Strong attention to detail and quality-focused approach

- Ability to adapt to evolving AI technologies and industry trends

Preferred Skills :

- Experience in enterprise AI product development

- Exposure to conversational AI and intelligent assistants

- Experience with multi-modal AI applications

- Familiarity with AI governance and responsible AI frameworks

- Experience in data engineering and large-scale data processing

- Exposure to AI automation and workflow orchestration

- Experience in healthcare, BFSI, or regulated industries

Educational Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field