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Chandigarh · On-site · 3-6 Yrs · Oct 19
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
We are seeking a highly skilled Generative AI Engineer, Large Language Models (LLMs), and workflow automation.
Responsibilities
- Hands-on experience with LLMs, prompt engineering, and RAG architectures
- Experience with automation tools (n8n, Zapier, etc.)Proficiency in Python; Node.js is a plus
- Experience with APIs, data pipelines, and system integrationFamiliarity with vector databases and embeddings
- Knowledge of MLOps practices and deployment toolsExperience working with cloud platforms (AWS/Azure/GCP)Preferred QualificationsExperience building end-to-end AI productsExposure to real-time AI applications and scalable architecturesStrong problem-solving and system design skills .
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Generative AI Engineer at TAC Security?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. TAC Security may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Generative AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Generative AI Engineer remote or on-site in Chandigarh?
- This listing is marked on_site with location Chandigarh. Confirm details on the job description before applying.
- What skills matter for this Generative AI Engineer role at TAC Security?
- This is a mid-level Generative AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.