Job Description Data Scientist (Generative AI & Agentic AI) & Gen AI Architects
Position : Data Scientist GenAI & Agentic AI.
Experience Required : 4+ years.
Location : Hyderabad Onsite.
Employment Type : Full-time.
About the Role :
We are looking for a highly skilled Data Scientist with strong expertise in Generative AI and Agentic AI to join our advanced analytics and AI team.
The ideal candidate will have hands-on experience building and deploying GenAI-powered solutions, designing autonomous AI agents, and applying cutting-edge AI research to solve complex business problems.
This role requires a strong foundation in data science, machine learning, and NLP, combined with practical experience in leveraging LLMs and agentic frameworks.
Key Responsibilities :
- Develop, fine-tune, and deploy Generative AI models (LLMs, diffusion models, multi-modal models) for business use cases.
- Design and implement autonomous AI agents that can plan, reason, and execute multi-step tasks.
- Work with cross-functional teams to identify opportunities for GenAI / Agentic AI adoption in workflows, customer experience, and decision-making.
- Build data pipelines, APIs, and frameworks to integrate AI models into production systems.
- Experiment with prompt engineering, RAG (Retrieval Augmented Generation), and advanced orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack).
- Evaluate and benchmark model performance for scalability, efficiency, and ethical compliance.
- Stay updated on the latest AI research (LLMs, multi-agent systems, reinforcement learning, and reasoning models).
- Present technical solutions and recommendations to both technical and non-technical stakeholders.
Qualifications :
Bachelors / Masters / PhD in Computer Science, Data Science, AI / ML, or related field.4+ years of hands-on experience in Data Science / Machine Learning with at least 2+ years in Generative AI / LLMs.Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).Strong knowledge of NLP techniques, transformer architectures, and embeddings.Experience with LLM fine-tuning, RAG, prompt engineering, and agentic workflows.Familiarity with LangChain, Hugging Face, OpenAI API, Anthropic, or similar frameworks / models.Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps practices.Excellent problem-solving, research, and communication skills.Preferred Skills :
Experience with multi-agent systems and reinforcement learning.Knowledge of knowledge graphs, reasoning engines, or symbolic AI.Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus).Experience with multi-modal AI (text, image, audio, video integration).Contributions to AI research papers, open-source projects, or community initiatives.What We Offer :
Opportunity to build next-generation AI solutions that transform business and customer experience.Collaborative environment with AI researchers, data scientists, and engineers.Access to cutting-edge AI tools, compute infrastructure, and learning resources.Competitive salary and benefits package.Career growth in an organization investing heavily in AI innovation.(ref : hirist.tech)