Artificial Intelligence Engineer

Indsafri; Chennai District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Indsafri is seeking an experienced AI Engineer to design, develop, and deploy intelligent AI solutions and scalable ML applications. The role emphasizes hands-on Python, ML, Agentic AI, RAG, and Generative AI, with responsibilities spanning model training, evaluation, and production deployment.

You will work with NLP, LLMs, vector databases, and prompt engineering, building AI-powered applications and backend services, and collaborating with data scientists and software engineers to deliver

Qualifications

• Bachelor's/Master's degree in CS, AI/ML, Data Science, or engineering.
• 3+ years of AI/ML/NLP experience.
• Strong problem-solving and analytical skills.
• Good communication and stakeholder collaboration skills.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build RAG pipelines and AI-powered applications.
• Develop Agentic AI and multi-step intelligent workflows.
• Create scalable backend services and APIs with Python, Django, Flask.
• Train, evaluate, and fine-tune ML models.
• Work with NLP, LLMs, embeddings, vector databases, and prompts.
• Integrate models into production via REST APIs.
• Handle data preprocessing, feature engineering, evaluation, and optimization.
• Collaborate with Data Scientists, Software Engineers, and stakeholders.
• Deploy, monitor, and maintain AI/ML apps in production.

Skills

Python

Machine Learning

Agentic AI

RAG

Generative AI

NLP

LLMs

SQL

NoSQL

Data Structures & Algorithms

Statistics & ML fundamentals

Data preprocessing

Feature engineering

Education

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

Tools

Scikit-learn

NumPy

NLP libraries

LLM frameworks

LangChain

FAISS

Pinecone

Chroma

Weaviate

Docker

MLOps

CI/CD

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.