Job Description & How to Apply Below
About the Role
We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale Generative AI solutions. This role will focus on developing intelligent AI agents, LLM-powered applications, RAG systems, and workflow automation solutions that drive business impact across multiple domains.
Key Responsibilitie
sDesign and develop AI agent frameworks and multi-agent systems for enterprise use cases
.Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector databases and semantic search
.Develop LLM-powered applications, APIs, and intelligent automation solutions
.Implement prompt engineering, tool/function calling, and workflow orchestration
.Ensure AI solutions are scalable, secure, reliable, and production-ready
.Collaborate with Data Engineering, Data Science, and MLOps teams to deploy and monitor AI applications
.Evaluate and improve model performance, response quality, latency, and cost efficiency
.
Required Skil
ls5–12 years of experience in Data Engineering, Data Science, Machine Learning, or AI Engineerin
g.Hands-on experience building production-grade Generative AI and LLM application
s.Strong expertise in Python and API develop men
t.
Experience with RAG, embeddings, vector databases, and semantic searc
h.Familiarity with frameworks such as Lang Chain, Lang Graph, Hugging Face, or simila
r.
Experience with agentic workflows, tool calling, and AI orchestratio
n.Exposure to cloud platforms such as AWS, Azure, or GC
P.
Preferred Ski
lls
Experience with fine-tuning techniques (LoRA, PEFT, etc
.).Knowledge of AI governance, security, and responsible AI practic
es.
Experience working with enterprise-scale AI deploymen
ts.
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