Job Overview
| Particulars | Details |
|---|---|
| Position | Python / AI-ML Engineer |
| Company | GlanceIt AI |
| Location | Bangalore |
| Job Type | Hybrid |
| Category / Department | IT |
| Application Mode |
🏢 About GlanceIt AI
Company Overview:
GlanceIt AI develops computer vision and real-time data solutions that transform existing CCTV and IP camera feeds into actionable operational insights. Its platform connects to existing camera infrastructure through RTSP streams and uses AI models to continuously analyze video for people, actions, compliance events, anomalies, and operational metrics. The platform provides live dashboards, automated reports, and alerts through channels including WhatsApp, Slack, and Telegram.
Company Mission:
To transform existing camera footage into real-time operational data, insights, and actionable alerts without requiring new camera infrastructure or manual video review.
Company Vision:
Not Provided
Core Values / Principles
AI-First Innovation
Real-Time Intelligence
Automation
Operational Efficiency
Scalable Technology
Practical AI Deployment
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Highlight Python programming fundamentals prominently.
Include academic, personal, internship, or professional AI/ML projects.
Mention hands-on experience with PyTorch, TensorFlow, or LLMs.
Include MongoDB and Apache Kafka projects or practical exposure.
Highlight understanding of Kafka topics, consumer groups, and streaming.
Mention backend or distributed-system projects.
Include practical experience with AI-assisted coding tools such as Claude, Copilot, or Cursor.
Add GitHub or project links if available and relevant.
Interview Preparation:
Revise Python fundamentals, data structures, OOP, exception handling, and asynchronous programming.
Review core machine learning concepts and common ML workflows.
Prepare PyTorch/TensorFlow fundamentals if you have hands-on experience.
Understand LLM fundamentals and common application patterns.
Review MongoDB concepts including collections, documents, indexing, and queries.
Understand Apache Kafka topics, partitions, producers, consumers, consumer groups, and streaming.
Review basic distributed systems and event-driven architecture concepts.
Be prepared to explain an AI/ML project you have built.
Practice explaining how AI-assisted coding tools can be used while maintaining code quality and validating generated code.
Professional Tips:
Focus your resume on practical AI/ML and Python projects rather than only academic qualifications.
Demonstrate your ability to learn unfamiliar technologies quickly.
Showcase projects involving LLMs, computer vision, backend systems, or real-time data where applicable.
Be transparent about your level of hands-on experience.
Emphasize problem-solving and a builder mindset.
📝 Job Description
Position Details:
The Python / AI-ML Engineer will contribute to the development of intelligent systems and production-ready AI features at GlanceIt AI. The position provides early-career engineers with exposure across AI/ML, backend engineering, distributed systems, and real-time data processing.
The role involves working with Python, PyTorch or TensorFlow, LLMs, MongoDB, and Apache Kafka. Engineers will help develop scalable backend services, event-driven pipelines, and AI-powered features.
The company encourages an AI-first development approach, where modern AI-assisted coding tools such as Claude, GitHub Copilot, and Cursor are used to accelerate development while maintaining code quality.
Benefits / Compensation
Opportunity to work on real-world, production-level AI products.
High ownership and direct product impact.
Exposure to AI/ML, backend engineering, and distributed systems.
Fast-paced professional growth.
Salary: Not Provided.
Other benefits: Not Provided.
Candidate Requirements:
Entry-level / early-career candidate.
Strong Python fundamentals.
Strong AI/ML fundamentals.
Hands-on exposure to ML frameworks or LLMs.
Knowledge of PyTorch or TensorFlow.
Working knowledge of MongoDB.
Understanding of Apache Kafka concepts.
Interest in distributed systems.
Ability to learn new technologies quickly.
Comfortable using AI-assisted development tools.
Preferred Skills:
Python
PyTorch
TensorFlow
LLMs
MongoDB
Apache Kafka
Distributed Systems
Event-Driven Architecture
Claude
GitHub Copilot
Cursor
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can send their resume to Zaid@glanceit.ai.
🎯 Key Responsibilities
- ✓ Develop backend services using Python.
- ✓ Build production-ready AI and ML features.
- ✓ Work with PyTorch, TensorFlow, and/or LLM technologies.
- ✓ Develop scalable backend systems.
- ✓ Build event-driven data pipelines using Apache Kafka.
- ✓ Work with MongoDB for application data management.
- ✓ Contribute to distributed system development.
- ✓ Integrate intelligent AI capabilities into production applications.
- ✓ Use AI-assisted development tools to accelerate coding and development.
- ✓ Validate and maintain quality of AI-assisted code.
- ✓ Collaborate on real-world AI product development.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Python / AI-ML Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹3,50,000 - ₹6,00,000 per annum (Freshers/Entry level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What is the job title?
The position is for a Python / AI-ML Engineer.
Which company is hiring for this role?
GlanceIt AI is hiring for this position.
Is this role suitable for freshers?
Yes. The position is specifically targeted at entry-level and early-career candidates.
Where is the position located?
The role is based in Bangalore with a hybrid work arrangement.
What programming language is required?
Strong Python fundamentals are required.
Which AI/ML technologies are mentioned?
The role mentions PyTorch, TensorFlow, and Large Language Models (LLMs).
Is MongoDB experience required?
Yes. Candidates should have working knowledge of MongoDB.
What Apache Kafka knowledge is expected?
Candidates should understand core Kafka concepts such as topics, consumer groups, and streaming.
Which AI-assisted coding tools are mentioned?
Claude, GitHub Copilot, and Cursor are specifically mentioned.
How can candidates apply?
Candidates can send their resume to Zaid@glanceit.ai.
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