Job Description
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
More Info
Key Skills
RAG Retrieval-Augmented Generation
NLP libraries frameworks
Vector databases semantic search
LLM frameworks and tools
Generative AI
LLMs
NoSQL databases
Scikit-learn
Agentic AI
About Company
