AI Engineer

Job description

About the Role

We are looking for a passionate and driven AI Engineer (Intern/Fresher/Experienced) with hands-on experience or strong academic exposure in RAG (Retrieval-Augmented Generation) approaches. You will work closely with our AI and product teams to design, prototype, and optimize intelligent solutions that integrate language models with structured/unstructured knowledge sources. This is a great opportunity to build impactful AI systems and work with modern NLP tools in real-world production environments.

Responsibilities

• Design and build AI applications using RAG-based architecturesFine-tune and integrate LLMs (eg, OpenAI, LLaMA, Mistral, etc) with external data sources
• Build and optimize pipelines for document ingestion, chunking, vector embedding, and retrieval
• Implement and experiment with tools like LangChain, Haystack, Weaviate, Pinecone, Chroma, FAISS
• Develop and maintain RESTful APIs and web applications using Python frameworks such as Flask XXXX XXXX
• Collaborate with frontend/backend teams to integrate AI into live products
• Conduct evaluations, benchmark performance, and recommend improvements
• Work with team leads to convert PoCs into scalable solutions

For Experienced (2+ Years):

• Proven experience in building or contributing to AI products using RAG architecture
• Strong proficiency in Python for data manipulation and API development
• Experience in RESTful API development using Flask XXXX XXXX
• Solid knowledge of SQL, data analytics, and Power BI
• Hands-on experience with version control (Git) and deployment tools
• Exposure to cloud platforms such as AWS is a strong plus
• Excellent problem-solving and communication skills

What You'll Gain

• Opportunity to work on cutting-edge AI projects with real-world users
• Exposure to both product delivery and research-level challenges
• Mentorship from experienced AI Engineers and Product Leads
• Flat team structure, creative freedom, and a learning-oriented culture

Job Type: Full-Time Internship

Location: New Delhi (Work from Office)