Skip to Main Content

Job Title


Artificial Intelligence Engineer


Company : Vedicon


Location : Bengaluru, Karnataka


Created : 2025-07-20


Job Type : Full Time


Job Description

Company Description: We are headquartered at Bengaluru, India since 2020; having business focus in Cyber Security, Forensic Investigation and Data Centre Solutions. As a product development and system integrator company our business focus is majorly into the Turn key projects in Cyber Security, Data Safety, Information Security & Forensic solutions to cater to the requirements of Fingerprint Bureau, Forensic Labs, Border Security Forces, Anti-Terrorist Squad, Law Enforcement Agencies, Narcotics Control Bureau, Indian Army, Military Intelligence and other Govt. Agencies in India. We also specialize in advanced Data Centers for Forensics and Intelligence use cases with SOC, NOC & IT Infra solutions. For more information please visit our website Role Description: This is a full-time on-site role for an Artificial Intelligence Engineer located in Bengaluru. The AI Engineer will be responsible for developing and implementing AI models and algorithms, researching and applying machine learning techniques, working with neural networks, and software development. They will also work on natural language processing (NLP) and pattern recognition projects. Day-to-day tasks include coding, testing, debugging AI models, and collaborating with cross-functional teams to integrate AI solutions into products. Job Location: Bangalore Qualifications: B. Tech./B.E./M.Tech./BCA/MCA or relevant experience above 5 years. Proficiency in Neural Networks and Pattern Recognition Strong background in Computer Science and Software Development Experience in Natural Language Processing (NLP) Excellent problem-solving and analytical skills Strong programming skills in languages such as Python, C++, or Java Ability to work collaboratively in a team environment Should have knowledge to work on- (i) Custom-trained AI models for summarization, citation matching, and structured generative responses (ii) Scalable Python APIs, secure databases, and automated pipelines for ingesting text/media data (iii) Intuitive web UI with timelines, structured briefs, and citation tagging for faster navigation (iv) On-premise or hybrid-ready setup with full encryption, RBAC, audit logs, and data compliance (v) Semantic vector search with filters