AI/ML Engineer Jobs in Kochi – Generative AI, LLM, Python Developer

DigitalXNode; Ernakulam; On-site; INR 900,000 - 1,800,000; Full time

Job summary

DigitalXNode in Kochi seeks an AI Engineer to design and deploy LLM-based applications, build RAG pipelines, and develop AI agents with LangGraph. You will implement NLP solutions, work with knowledge graphs, and build robust APIs using Python and FastAPI.

The role requires 3–10 years in AI/GenAI, strong Python skills, and experience with scalable architectures. Opportunity to work on cutting-edge AI projects in a growing team, with modern AI stacks and cloud platforms.

Qualifications

• 3–10 years of experience in AI/GenAI/NLP
• Hands-on with LLMs, RAG pipelines, NLP
• Proficiency in Python and API development (FastAPI)
• Knowledge of SQL/NoSQL databases and scalable systems
• Experience in system design and building microservices

Responsibilities

• Design and deploy LLM-based and Generative AI applications
• Build scalable RAG pipelines
• Develop AI agents and workflows using LangGraph
• Implement NLP solutions
• Work with knowledge graphs and semantic layers
• Build APIs using Python and FastAPI
• Optimize SQL/NoSQL databases for performance
• Contribute to system architecture and scalable services
• Follow CI/CD, Git workflows and code reviews

Skills

GenAI / AI

LLMs

RAG pipelines

NLP

Python

FastAPI

APIs

SQL/NoSQL

System design

Education

Bachelor's degree

Tools

LangGraph

Pinecone

FAISS

Weaviate

AWS/Azure/GCP

Job description

Join a growing AI team in Kochi and work on cutting-edge Generative AI, LLMs, and NLP-based applications.
Great opportunity to build impactful AI solutions using Python, RAG pipelines, and modern AI frameworks.

Experience

3–10 Years (flexible for exceptional candidates up to 12 years)

Key Responsibilities

• Design and deploy LLM-based and Generative AI applications
• Build scalable RAG (Retrieval-Augmented Generation) pipelines
• Develop AI agents and agentic workflows using LangGraph
• Implement NLP (Natural Language Processing) solutions
• Work with knowledge graphs and semantic layers
• Build APIs using Python and FastAPI
• Optimize SQL/NoSQL databases for performance
• Contribute to system architecture, microservices, and scalable systems
• Follow CI/CD, Git workflows, and code review practices

Required Skills

• Strong experience in Artificial Intelligence, Machine Learning (ML), and Generative AI (GenAI)
• Hands-on with LLMs, RAG pipelines, NLP
• Experience with LangGraph / AI workflow orchestration
• Proficiency in Python, FastAPI, API development
• Strong knowledge of SQL and NoSQL databases
• Experience in system design and scalable architecture

Good to Have

• Experience with vector databases (Pinecone, FAISS, Weaviate)
• Knowledge of cloud platforms (AWS, Azure, GCP)
• Exposure to MLOps and AI deployment pipelines

Education

Bachelor’s degree in Computer Science, Engineering, or related field (Any Graduate with relevant experience is welcome)