🏢 careers.quest-global.com
AI/ML Full Stack Developer
💼 Fulltime
📍 Chennai, Tamil Nadu
🛠 Skills Required
Python
JavaScript
TypeScript
React.js
Angular
Node.js
Flask
Django
REST APIs
SQL
NoSQL
Docker
Git
AWS
Azure
Google Cloud
LangChain
LlamaIndex
RAG
vector databases
CI/CD
Machine Learning fundamentals
Generative AI
LLM integration
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📚 Free Study Materials (4)
Aptitude Practice Questions
Helps you prepare for the online aptitude test commonly used by Quest Global for initial screening.
Open Resource ↗
Company Interview Preparation Guide
Provides insights into typical technical interview patterns and sample questions for engineering roles at Quest Global.
Open Resource ↗
Comprehensive Interview Resources
Offers curated interview experiences, mock tests, and tips that are useful for Quest Global's selection process.
Open Resource ↗
Coding Problem Sets
Contains a wide range of algorithmic problems to sharpen coding skills required for the technical round at Quest Global.
Open Resource ↗
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Don't miss this opportunity!
Apply before 22 Jul 2027 — only 259 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online aptitude and coding test → Round 2: Technical interview (coding, system design, AI/ML concepts) → Round 3: HR interview (fitment, communication, expectations)
🏢 Work Culture
Quest Global promotes a collaborative work culture with a focus on continuous learning and global exposure. Employees enjoy a balanced work‑life schedule, regular skill‑upgradation workshops, and clear career progression pathways.
🎤 Interview Experience
Candidates typically face a three‑stage process: an online aptitude and coding assessment, followed by a technical interview covering data structures, algorithms, and AI/ML fundamentals, and finally an HR round focusing on cultural fit and communication. The difficulty is moderate to high, with emphasis on problem‑solving speed and clear articulation of AI concepts. Practicing coding platforms and reviewing ML project basics can boost confidence.
✅ Eligibility Criteria
Bachelor's Degree in Computer Science, Information Technology, Electronics & Communication, or related engineering streams. Minimum aggregate of 60% (or CGPA 6.0/10). Final year students can apply if they can join full‑time after graduation. No active backlogs at the time of joining. Candidates from the 2023, 2024, 2025, or 2026 batches are eligible.
📋 About the Role
Quest Global is a leading engineering services provider with a strong presence across multiple industries such as aerospace, automotive, energy, and information technology. Headquartered in Singapore, the company operates in over 30 countries and employs more than 12,000 engineers who deliver cutting‑edge solutions to Fortune‑500 clients. In India, Quest Global has established development centres in major tech hubs, fostering a culture of innovation, continuous learning, and global collaboration. The organisation emphasizes employee growth through structured training programmes, mentorship, and exposure to real‑world projects that impact critical business outcomes.
The AI/ML Full Stack Developer role is designed for fresh engineering graduates who are passionate about building intelligent applications that blend robust front‑end experiences with powerful machine‑learning back‑ends. As a member of the Chennai development team, you will work closely with product managers, data scientists, and senior engineers to translate AI concepts into production‑ready software. This position offers a unique opportunity to gain hands‑on experience with generative AI, large language models, and modern cloud platforms while sharpening full‑stack development skills.
**Key Responsibilities**
1. Design and develop responsive web interfaces using React.js or Angular.
2. Implement server‑side APIs and services with Node.js or Python frameworks.
3. Integrate pre‑trained and custom machine‑learning models into web applications.
4. Build and maintain RESTful APIs for data exchange between front‑end and AI services.
5. Manage relational and NoSQL databases, ensuring data integrity and performance.
6. Deploy applications on cloud platforms (AWS, Azure, or Google Cloud) using Docker and CI/CD pipelines.
7. Conduct unit testing, debugging, and performance optimisation across the stack.
8. Collaborate with cross‑functional teams to define product requirements and technical specifications.
9. Stay updated with emerging AI/ML trends, generative AI tools, and vector‑database technologies.
10. Document code, APIs, and deployment processes for knowledge sharing.
**Tech Stack**: Python, JavaScript/TypeScript, React.js/Angular, Node.js, Flask/Django, REST APIs, PostgreSQL/MySQL, MongoDB, Docker, Git, AWS/Azure/GCP, LangChain/LlamaIndex, RAG, vector databases, CI/CD tools.
**Growth Path**: Starting as an associate developer, you can progress to senior full‑stack engineer, AI solutions architect, or product lead within 2‑4 years, supported by Quest Global’s internal training modules and global project exposure.
**Why Join Quest Global?** The company offers a vibrant, multicultural environment where fresh talent is mentored by industry veterans. Employees benefit from flexible work arrangements, competitive compensation, and a clear roadmap for technical and managerial advancement. By joining Quest Global, you become part of a global network that values innovation, quality, and personal development.
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📋 Quick Info
JOB ID
C2699-J321
POSTED
1h ago
TYPE
Fulltime
BATCH
All Batches
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