Description

𝐑𝐨𝐥𝐞 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰
We are looking for an Agentic AI Engineer to design and build intelligent, autonomous AI systems powered by LLMs. This role focuses on developing AI agents, implementing RAG pipelines, and working on real-world AI/ML applications.

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
Design and develop AI agents using modern LLM frameworks
Build and optimize RAG (Retrieval-Augmented Generation) pipelines
Integrate LLMs into scalable applications and workflows
Work on prompt engineering and model optimization
Collaborate with product and engineering teams to deploy AI solutions
Ensure performance, reliability, and scalability of AI systems

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
3–5 years of experience in AI / ML engineering
Strong hands-on experience with:
LLMs (OpenAI, open-source models, etc.)
RAG architectures
Experience in building AI-driven applications
Strong programming skills (Python preferred)
Understanding of NLP and machine learning concepts

𝐆𝐨𝐨𝐝 𝐭𝐨 𝐇𝐚𝐯𝐞
Experience with vector databases (FAISS, Pinecone, etc.)
Knowledge of LangChain / LlamaIndex or similar frameworks
Experience in deploying AI models in production
Exposure to cloud platforms (AWS, Azure, GCP)

𝐖𝐡𝐚𝐭 𝐖𝐞’𝐫𝐞 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐅𝐨𝐫
Strong problem-solving mindset
Hands-on builder with curiosity for new AI advancements
Ability to work in fast-paced environments
Ownership and accountability

Key Skills

Education

Any Graduate