Python Engineer - Agentic AI LLMs, RAG architectures
- Source: Naukri
- Supreme Consulting
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
Client Facing Key Responsibilities
- Develop AI-powered enterprise applications using Python and modern AI frameworks.
- Design and implement Agentic AI workflows and intelligent automation solutions.
- Build applications using LLMs, RAG architectures, embeddings, and prompt engineering techniques.
- Integrate OpenAI, LangChain, LangGraph, and LlamaIndex into enterprise solutions.
- Develop REST APIs and microservices to expose AI capabilities.
- Deploy AI applications using Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
- Collaborate with Data Scientists, Product Teams, and Solution Architects to deliver AI-driven solutions.
- Participate in CI/CD pipelines, MLOps implementation, testing, and production deployments.
Required Skills
- Python
- Generative AI
- Agentic AI
- OpenAI APIs
- LangChain
- LangGraph
- LlamaIndex
- Large Language Models (LLMs)
- Prompt Engineering
- RAG Architecture
- TensorFlow / PyTorch / Keras
- REST APIs
- Microservices
- Docker
- Kubernetes
- Azure / AWS / GCP
- GitHub
Skills
- Python
- LangChain
- LangGraph
- LlamaIndex
- Docker
- Kubernetes
- microsoft-azure
- amazon-web-services
- google-cloud-platform
- Tensorflow
- PyTorch
- Keras
- Github
