Live opening · Posted 17 days ago

Artificial Intelligence Engineer

Indsafri · Chennai, Tamil Nadu, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 17 days ago
CompanyIndsafri
LocationChennai, Tamil Nadu, India (On-site)
Work modeNo
SourceLinkedin
Listed17 days ago

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About the role

Description supplied by the original job listing.

AI Engineer – Agentic AI, GenAI & RAG
📍 Location: Ambattur, Chennai
💼 Employment Type: Contract – 12 Months
📅 Experience: 3+ Years
⏳ Notice Period: Immediate Joiners / Short Notice Preferred
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.
🔑 Required Skills
Must Have:
Python – 3+ years
Machine Learning – 3+ years
Agentic AI / AI Agents
RAG (Retrieval-Augmented Generation)
Generative AI / GenAI
Django / Flask
NLP
LLMs
REST API development
SQL / RDBMS
NoSQL databases
Data Structures & Algorithms
Statistics & Machine Learning fundamentals
ML / AI Frameworks & Libraries
PyTorch / Keras
Scikit-learn
Pandas
NumPy
NLP libraries/frameworks
LLM frameworks and tools
Vector databases / semantic search
Good to Have
R programming
LangChain / LangGraph
Hugging Face
OpenAI / Azure OpenAI
Vector databases such as FAISS, Pinecone, Chroma, or Weaviate
Docker
Cloud platforms (AWS / Azure / GCP)
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

Work arrangement
No

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