AI ML Engineer

This role involves designing and deploying AI applications using LLMs and RAG pipelines. The candidate will work on real-world projects, integrating models with APIs and databases to create scalable solutions. They will also focus on model optimization and performance evaluation.

Summarised by InternDoor from Webknot Technologies’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.

• Build and optimize RAG pipelines with embeddings, vector databases, and retrieval systems
• Develop LLM-powered applications using LangChain, prompt engineering, and API integrations
• Collaborate with cross-functional teams to deploy production-ready AI solutions

Required

• Bachelor's or Master's degree Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field
• 2+ years hands-on experience in AI/ML development or real-time AI/ML projects
• Strong programming skills in Python
• Hands-on experience developing Generative AI and LLM-based applications
• Strong practical knowledge of LangChain and its application in LLM-based solutions
• Good understanding of Large Language Models (LLMs) and their practical implementation
• Hands-on understanding of RAG, embeddings, vector databases, semantic search, and prompt engineering
• Experience working with LLM APIs such as OpenAI, Gemini, Claude, or similar platforms
• Experience with at least one deep learning framework such as PyTorch or TensorFlow
• Familiarity with NLP concepts and techniques

Nice to have

• Experience deploying AI/ML applications on AWS, Azure, or Google Cloud Platform
• Knowledge of MLflow or similar model experimentation/evaluation tools
• Understanding of LLM observability, guardrails, hallucination reduction, and AI application security

Read from Webknot Technologies’s posting. Its own wording is the one that counts.

1. Check what they ask for. Read the requirements above: Webknot Technologies asks for 2+ years.
2. Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
3. Apply on LinkedIn. The application is on linkedin.com, not on InternDoor. We never ask for a fee.

Apply soon: postings like this can close without notice, and this one states no deadline.

Posted

6 Nov 2026, on LinkedIn

First seen by InternDoor

6 Nov 2026, within 5 minutes of being posted

Last checked

6 Nov 2026: the posting was still in LinkedIn’s search results. We have not checked its application page.

Application deadline

Webknot Technologies has not stated one

Leaves InternDoor

By 6 Dec 2026, our 30-day limit for LinkedIn listings, or sooner if the application closes

Application page

linkedin.com (Easy Apply)

What we checked, and what the dates mean

The date this listing leaves InternDoor is our own rule, not a deadline set by Webknot Technologies. Postings can close earlier, at any time.

InternDoor has recorded 4 engineering postings from Webknot Technologies in India since Sept 2026.

When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.

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