Hiring: Senior Python & Generative AI Engineer (5+ Years Experience)
Location: Hyderabad
We are looking for a highly skilled Senior Python GenAI Engineer to build cutting-edge Generative AI, Agentic AI, and LLM-powered applications on AWS. If you have hands-on expertise in LLM orchestration, RAG systems, and agentic frameworks this role is for you.
Job Summary
You will design, develop, and deploy Generative AI solutions using AWS Bedrock, SageMaker, LangChain, RAG systems, and agentic frameworks (crewai/autogen).
You will also integrate AI workflows using n8n and deploy microservices on Kubernetes/EKS.
Key Responsibilities
- Build and integrate LLMs (e.g., Claude) on AWS Bedrock using boto3
- Fine-tune models using AWS SageMaker, HuggingFace Transformers, and LoRA
- Create structured and optimized prompts via LangChain
- Develop RAG pipelines using AWS OpenSearch, LangChain, and vector embeddings
- Build AI Agents using crewai or autogen, deploy them on AWS Lambda
- Implement end-to-end agentic automation workflows in n8n
- Deploy scalable AI apps using Docker on Amazon ECS/EKS
- Monitor and optimize model performance using Amazon CloudWatch and Weights & Biases (wandb)
Must-Have Skills
- 5+ years Python development experience
- 2+ years hands-on in GenAI / LLMs
- Strong expertise in:
- AWS Bedrock, SageMaker, Lambda, boto3
- Transformers, LangChain, CrewAI, AutoGen, wandb
- n8n workflows, RAG pipelines & prompt engineering
Preferred Skills
- AWS Certification ML or Solutions Architect
- Familiarity with LlamaIndex, n8n templates
Mandatory (DevOps + Cloud) Skills
- Agentic Frameworks
- Python AI / Generative AI
- Git, Docker, DevOps
- Kubernetes (Rancher, AWS EKS, Azure AKS)
- GKE, Helm Charts, Ansible, ArgoCD
