Generative AI Jobs Type
Generative AI

Add Your Heading Text Here
Generative AI (GenAI) is reshaping how we create content, powered by Large Language Models (LLM) like GPT (e.g., GPT-4, GPT-3.5) that are built on transformer architecture. While tools like diffusion models drive realistic image creation, autoencoders and Variational Autoencoders (VAE) help compress and reconstruct complex data.
From GANs (Generative Adversarial Networks) used in deepfakes to RLHF (Reinforcement Learning with Human Feedback) improving AI responses, GenAI is evolving fast. Techniques like LoRA (Low-Rank Adaptation) make fine-tuning efficient, and Prompt Engineering has become a new art in working with AI.
Natural Language Processing (NLP) remains the backbone, enhanced by methods like transfer learning, zero-shot / few-shot learning, and semantic search. Behind the scenes, embeddings, vector databases, tokenization, and attention mechanisms make it all click.
AI model,job, Platforms like OpenAI, Anthropic Claude, Google Gemini, and Meta LLaMA are leading the way, while Cohere, AWS Bedrock, and Azure OpenAI offer scalable solutions. For developers and researchers, tools like Weights & Biases, MLflow, and Streamlit / Gradio simplify tracking, training, and deploying GenAI models.
1. AI/ML Engineer
Role: Build & optimize ML models
Skills: Python, deep learning, data structures
Tools: TensorFlow, PyTorch, Scikit-learn
2. Prompt Engineer
Role: Design prompts for LLMs
Skills: NLP, creative thinking, LLM tuning
Tools: OpenAI APIs, LangChain, Hugging Face
3. Data Scientist (GenAI Focus)
Role: Analyze data, build AI models
Skills: Statistics, ML, GenAI concepts
Tools: Jupyter, Pandas, GPT models
4. Research Scientist (AI)
Role: Develop new GenAI models
Skills: Research, math, deep learning
Tools: PyTorch, Hugging Face, JAX
5. AI Product Manager
Role: Lead AI product dev
Skills: Product strategy, AI basics, team coordination
Tools: Jira, Figma, Notion, APIs
6. Generative AI Consultant
Role: Advise businesses on GenAI adoption
Skills: AI use-cases, domain knowledge, communication
Tools: ChatGPT, Bard, MS Copilot
7. AI Content Creator
Role: Use GenAI to create content
Skills: Writing, creativity, prompt crafting
Tools: ChatGPT, Jasper, Canva AI
8. AI Developer (Applications)
Role: Build GenAI-powered apps
Skills: Full-stack dev, API integration
Tools: LangChain, Node.js, React, OpenAI
9. Ethics & AI Policy Analyst
Role: Ensure ethical AI use
Skills: Law, AI ethics, research
Tools: Legal databases, AI audit tools
10. LLM Fine-tuning Engineer
Role: Customize large language models
Skills: NLP, data prep, deep learning
Tools: Hugging Face, LoRA, RLHF
Top Recruiters in India
Enterprise & IT Services Leaders
Tata Consultancy Services (TCS) – Offers AI solutions through platforms like TCS BaNCS and IgnioTM.
Infosys – Provides AI services via its Nia platform, integrating automation and advanced analytics.
Wipro – Utilizes its HOLMES platform to address enterprise challenges through AI and automation.
HCL Technologies – Supports AI initiatives through its DRYiCE platform, focusing on automation and cognitive computing.
Cognizant – Enhances customer experiences and operational efficiency with its Cognizant AI platform.
Birlasoft – Launched Cogito, a Generative AI platform aimed at automating processes and improving business performance.
AI Startups & Innovators
Fractal Analytics – India’s first AI unicorn, specializing in AI solutions across various sectors.
Uniphore – A conversational automation technology company offering software for conversational analytics and assistants.
Haptik – An enterprise conversational AI platform, acquired by Jio Platforms in 2019.
Appinventiv Technologies – An IT consulting services company recognized for significant revenue growth and AI expertise.
Global AI Collaborations in India
Nvidia – Partnered with Reliance Industries to create a large language AI model and build supercomputing infrastructure in India.
Databricks