Senior AI Engineer

HashQ AI; Kozhikode district; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

HashQ AI is seeking a Senior AI Engineer with 5+ years of experience to design and deploy production‑grade AI/ML systems, including LLM applications, RAG pipelines, and agentic AI workflows. Strong Python skills and enterprise deployment experience are essential.

You will own AI solutions end‑to‑end, transform enterprise data into actionable insights, and collaborate with customers and internal teams to drive AI innovation across projects.

Qualifications

• 3+ years of experience in AI/ML Engineering.
• Production experience with LLMs, RAG, and Agentic AI.
• Expertise in LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong Python skills and experience with vector databases.
• Excellent communication and stakeholder management skills.

Responsibilities

• Build and deploy production‑grade AI/LLM applications.
• Develop RAG pipelines and organisational memory systems.
• Own AI solutions end‑to‑end from design to deployment.
• Transform enterprise data into actionable intelligence.
• Collaborate with customers and internal teams to drive AI innovation.

Skills

Python

LLM applications

RAG pipelines

Agentic AI

Vector databases

Communication

Stakeholder management

Tools

LangChain

LangGraph

LlamaIndex

Job description

We are looking for a Senior AI Engineer with 5+ years of experience in AI/ML, who has hands‑on expertise in building production‑grade LLM applications, RAG systems, and agentic AI workflows, along with strong Python engineering skills and experience deploying scalable AI solutions in enterprise environments.

Responsibilities:

• Build and deploy production‑grade AI/LLM applications.
• Develop RAG pipelines and organisational memory systems.
• Own AI solutions end‑to‑end from design to deployment.
• Transform enterprise data into actionable intelligence.
• Collaborate with customers and internal teams to drive AI innovation.

Requirements:

• 3+ years of experience in AI/ML Engineering.
• Production experience with LLMs, RAG, and Agentic AI.
• Expertise in LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Strong Python skills and experience with vector databases.
• Excellent communication and stakeholder management skills.