Cloud AI/ML Engineer – Agentic RAG
2 days ago
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Role: Cloud AI/ML Engineer – Agentic RAG & NLP Applications
We are looking for a forward-thinking
Cloud AI/ML Engineer
with proven experience in building production-ready
Agentic RAG
,
LLM orchestration
, and
NLP applications
. This role is ideal for someone who goes beyond basic chatbot development and has hands-on expertise in cloud-native GenAI solutions using
AWS Bedrock
,
SageMaker
, and
Python
-based LLM frameworks.
You will work closely with cross-functional teams to:
- Design and deploy scalable
RAG-based GenAI applications - Integrate
LLM agents
and retrieval pipelines using LangChain, LlamaIndex, or similar tools - Build secure and automated
CI/CD and MLOps pipelines - Optimize performance, observability, and cost across cloud environments
- Ensure compliance, monitoring, and best practices for production AI systems
Must-Have Skills
- Minimum
2 years of hands-on NLP experience - Strong experience with
Agentic RAG
,
LLM agents
, or
LLM orchestration - Proficiency in
Python
, with tools like
LangChain
,
LlamaIndex
,
Transformers - Deep understanding of
AWS services
: SageMaker, Bedrock, IAM, EC2 - Experience in deploying GenAI models with
CI/CD
,
Docker
, and
MLOps
practices
Good-to-Have Skills
- AWS Certifications (e.g.,
ML – Specialty
,
DevOps Engineer
) - Familiarity with
responsible AI
and model governance - Experience with
Kubernetes
,
CloudWatch
, and other observability tools - Exposure to
cost optimization
strategies in GenAI workloads - Contributions to
open-source GenAI/LLM
tools or frameworks
-
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