Artificial Intelligence Engineer

Indsafri; Chennai District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Indsafri in Chennai is seeking an experienced AI Engineer to design, develop, and deploy intelligent AI solutions and scalable ML applications.

You will build RAG pipelines, Agentic AI workflows, and backends with Python, Django/Flask, and REST APIs, leveraging NLP, embeddings, vector databases, and prompt engineering.

Collaborating with data scientists and software engineers, you will preprocess data, train models, and maintain production deployments across services.

Qualifications

• Python – 3+ years.
• Machine Learning – 3+ years.
• Agentic AI / AI Agents.
• RAG (Retrieval-Augmented Generation).
• Generative AI / GenAI.
• NLP.
• LLMs.
• SQL / RDBMS.
• NoSQL databases.
• Data Structures & Algorithms.
• Statistics & Machine Learning fundamentals.
• Scikit‑learn.
• NumPy.
• NLP libraries/frameworks.
• LLM frameworks and tools.
• LangChain / LangGraph.
• Vector databases such as FAISS, Pinecone, Chroma, or Weaviate.
• Docker.
• MLOps / CI/CD.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build RAG pipelines and AI-powered applications.
• Develop Agentic AI / AI Agents and multi-step workflows.
• Develop scalable backend services and APIs using Python, Django, and Flask.
• Build, train, evaluate, and fine-tune machine learning models.
• Work with NLP, LLMs, embeddings, vector databases, and prompt engineering.
• Integrate AI/ML models into production applications using REST APIs.
• Perform data preprocessing, feature engineering, model evaluation, and optimization.
• Work with SQL, NoSQL, and RDBMS databases.
• Collaborate with Data Scientists, Software Engineers, and stakeholders.
• Deploy, monitor, and maintain AI/ML applications in production.

Skills

Python

Machine Learning

Agentic AI / AI Agents

RAG (Retrieval-Augmented Generation)

Generative AI / GenAI

NLP

LLMs

SQL / RDBMS

NoSQL databases

Data Structures & Algorithms

Statistics & Machine Learning basics

Scikit‑learn

NumPy

NLP libraries/frameworks

LLM frameworks/tools

LangChain / LangGraph

Vector databases (FAISS, Pinecone, Chr

Docker

MLOps / CI/CD

Education

Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Engineering

Tools

REST APIs

Job description

About the Role

We are looking for an experienced AI Engineer with strong hands‑on expertise in Python, Machine Learning, Agentic AI, RAG, and Generative AI to join our team. The ideal candidate will be responsible for designing, developing, and deploying intelligent AI solutions and scalable ML applications.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build RAG (Retrieval‑Augmented Generation) pipelines and AI‑powered applications.
• Develop Agentic AI / AI Agents and multi‑step intelligent workflows.
• Develop scalable backend services and APIs using Python, Django, and Flask.
• Build, train, evaluate, and fine‑tune machine learning models.
• Work with NLP, LLMs, embeddings, vector databases, and prompt engineering.
• Integrate AI/ML models into production applications using REST APIs.
• Perform data preprocessing, feature engineering, model evaluation, and optimization.
• Work with SQL, NoSQL, and RDBMS databases.
• Collaborate with Data Scientists, Software Engineers, and business stakeholders.
• Deploy, monitor, and maintain AI/ML applications in production.

Must Have:

• Python – 3+ years
• Machine Learning – 3+ years
• Agentic AI / AI Agents
• RAG (Retrieval‑Augmented Generation)
• Generative AI / GenAI
• NLP
• LLMs
• SQL / RDBMS
• NoSQL databases
• Data Structures & Algorithms
• Statistics & Machine Learning fundamentals

ML / AI Frameworks & Libraries

• Scikit‑learn
• NumPy
• NLP libraries/frameworks
• LLM frameworks and tools

Good to Have

• R programming
• LangChain / LangGraph
• Vector databases such as FAISS, Pinecone, Chroma, or Weaviate
• Docker
• MLOps / CI/CD

Qualifications

• Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field.
• 3+ years of relevant professional experience in AI/ML/NLP.
• Strong problem‑solving and analytical skills
• Good communication and stakeholder collaboration skills