Artificial Intelligence Engineer

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.