GEN AI Engineer
- Source: LinkedIn
- Tata Consultancy Services
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Greetings from TCS..!!
TCS is conducting Walk-in-drive for the role “ GEN AI Engineer “
Experience : 3 to 5 years
Location : Hyderabad
Location details : TCS Rajapushpa Paradigm on ISB Road in the Financial District, Nanakramguda, Hyderabad, Telangana 500032
Interview Mode : Face to face Interview
Timing : 9:30 AM to 12:30 PM
Date : 05-Sep-2026
SPOC : Divya Mukundan
We are seeking a highly skilled Generative AI, AI/ML, and Python Developer to design, develop, and deploy intelligent AI-powered applications. The ideal candidate will have hands-on experience in Python development, Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI technologies, and cloud-based AI solutions.
Key Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions.
- Build and integrate applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
- Develop AI-powered chatbots, virtual assistants, and automation solutions.
- Implement RAG architectures using vector databases.
- Fine-tune, evaluate, and optimize foundation models and machine learning models.
- Develop REST APIs and microservices using FastAPI or Flask.
- Create scalable data pipelines for training, inference, and model monitoring.
- Implement MLOps practices for deployment, monitoring, and maintenance.
Required Technical Skills
- Programming: Python (Advanced), SQL, Git/GitHub/Azure DevOps
- AI/ML: Machine Learning, Deep Learning, NLP, Model Training & Optimization
- Generative AI: LLMs, Prompt Engineering, RAG, LangChain, LlamaIndex, AI Agents, Vector Databases
- Frameworks: FastAPI, Flask, Django (Preferred)
- Cloud: Azure AI Services, Azure OpenAI, AWS AI/ML, Google Cloud AI
- MLOps: Docker, Kubernetes, CI/CD, MLflow, Monitoring
Skills
- mode
- claude-by-anthropic
- Gemini
- meta-llama
- llama
- FastAPI
- Flask
- Python
- Github
- microsoft-azure
- azure-devops
- LangChain
- LlamaIndex
- Django
- amazon-web-services
- google-cloud-platform
- Docker
- Kubernetes
- ml-flow
- mlflow
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