Job Overview
| Particulars | Details |
|---|---|
| Position | Full Stack Developer – AI Products |
| Company | T3 Solutions Pvt Ltd |
| Location | Kolkata |
| Job Type | Full-Time |
| Experience | 9 - 10 years |
| Category / Department | IT |
| Application Mode |
🏢 About T3 Solutions Pvt Ltd
Company Overview:
T3 Solutions Pvt Ltd is a staff augmentation and managed services company that provides vetted engineers and specialists for contract, remote, and full-time engagements. The company supports product teams across software development, digital transformation, application development, DevOps, QA, SAP services, AI/ML, and data analytics. T3 Solutions focuses on integrating skilled professionals into client teams to help accelerate product development and deliver business outcomes.
Company Mission:
To provide high-quality engineering talent and managed delivery services that help modern product teams move faster and achieve their technology goals.
Company Vision:
Not Provided
Core Values / Principles
Quality
Rigorous Talent Screening
Collaboration
Ownership
Speed
Long-Term Partnership
Customer Success
#43, Govt School Road, Opp Water Tank Road, Jakkur 560064
💡 Editor's Note / Preparation Tip
Resume Tips:
Clearly highlight 5–10 years of full-stack development experience.
Put production-grade AI application experience prominently at the top of the resume.
Highlight React.js, Next.js, TypeScript, Node.js/Python, and FastAPI.
Clearly mention LLM integrations with OpenAI, Anthropic, or other providers.
Include RAG implementation experience and the technologies used.
Mention experience with AI agents, conversational AI, or intelligent platforms.
Highlight WebSockets and SSE experience for real-time applications.
Include Docker, GitHub Actions, CI/CD, and cloud platform experience.
Mention relevant exposure to LangChain, LlamaIndex, Vercel AI SDK, GraphQL, or MCP.
Interview Preparation:
Revise React.js, Next.js, and TypeScript concepts.
Prepare Node.js or Python/FastAPI backend development scenarios.
Review REST API and Microservices architecture.
Understand LLM integration patterns, prompting, API usage, and production considerations.
Prepare to explain RAG architecture, embeddings, vector search, retrieval, and generation workflows.
Review real-time communication using WebSockets and Server-Sent Events.
Understand AI agent architectures and tool integration.
Revise Docker, CI/CD, GitHub Actions, and cloud deployment practices.
Prepare examples of production AI applications you have built and the challenges you solved.
Review LangChain, LlamaIndex, Vercel AI SDK, GraphQL, and MCP if included in your experience.
Professional Tips:
Do not present yourself as only a conventional full-stack developer; emphasize hands-on AI product development.
Include architecture diagrams or links to relevant projects where appropriate.
Quantify production impact such as latency improvements, scale, users, or cost optimization when possible.
Clearly identify the LLM providers, RAG frameworks, cloud services, and AI tools used in your projects.
Keep the resume focused on production AI engineering rather than generic AI terminology.
📝 Job Description
Position Details:
The Full Stack Developer will join an AI product development team responsible for building intelligent, scalable, and production-ready applications. This is not a traditional full-stack development position; the role specifically targets engineers with practical experience developing AI-powered products and integrating Large Language Models.
The developer will work on AI-powered web applications, intelligent agent platforms, LLM integrations, real-time conversational AI experiences, multi-tenant SaaS platforms, and modern cloud-native applications.
The role involves frontend development using React.js, Next.js, and TypeScript, along with backend development using Node.js or Python, with FastAPI preferred. Candidates will also work with REST APIs, Microservices, RAG architectures, real-time communication technologies, cloud platforms, containerization, and CI/CD.
Benefits / Compensation
Work From Office in Kolkata.
Full-Time employment.
Salary: Not Provided.
Other benefits: Not Provided.
Candidate Requirements:
5–10 years of full-stack development experience.
Hands-on experience building production-grade AI applications.
Strong React.js, Next.js, and TypeScript experience.
Node.js or Python experience, with FastAPI preferred.
Experience with REST APIs and Microservices.
Experience integrating OpenAI, Anthropic, or other LLM platforms.
Experience with Retrieval-Augmented Generation (RAG).
Knowledge of WebSockets and Server-Sent Events (SSE).
Experience with Docker and CI/CD.
GitHub Actions experience.
Experience with AWS, Azure, or GCP.
Experience building scalable applications.
Preferred Skills:
LangChain
LlamaIndex
Vercel AI SDK
GraphQL
AI Agent Frameworks
Model Context Protocol (MCP)
Intelligent Agent Platforms
Real-Time Conversational AI
Multi-Tenant SaaS
Working Days & Hours:
Not Provided
How to Apply:
Candidates should send their updated resume to contact@t3partner.in.
🎯 Key Responsibilities
- ✓ Develop production-grade AI-powered web applications.
- ✓ Build intelligent agent platforms and AI-driven product features.
- ✓ Integrate Large Language Models such as OpenAI, Anthropic, or other providers.
- ✓ Develop real-time conversational AI experiences.
- ✓ Build scalable multi-tenant SaaS platforms.
- ✓ Develop frontend applications using React.js, Next.js, and TypeScript.
- ✓ Develop backend services using Node.js or Python.
- ✓ Design and implement REST APIs and Microservices.
- ✓ Implement Retrieval-Augmented Generation solutions.
- ✓ Develop real-time communication features using WebSockets and SSE.
- ✓ Build and deploy cloud-native applications.
- ✓ Use Docker and CI/CD pipelines for application delivery.
- ✓ Collaborate on building scalable and reliable AI products.
💡 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 Full Stack Developer – AI Products 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 ₹12,00,000 - ₹25,00,000+ per annum (Senior/Lead 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 Full Stack Developer specializing in AI Products.
Which company is hiring for this position?
T3 Solutions Pvt Ltd is hiring for this role.
How much experience is required?
Candidates should have 5–10 years of experience.
Where is the position located?
The position is based in Kolkata and requires Work From Office.
Is this a traditional full-stack development role?
No. The company specifically seeks engineers with hands-on experience building production-grade AI applications and integrating LLMs.
Which frontend technologies are required?
React.js, Next.js, and TypeScript are required.
Which backend technologies are preferred?
Node.js or Python is required, with FastAPI preferred for Python-based development.
What AI/LLM experience is required?
Candidates should have experience integrating OpenAI, Anthropic, or other LLM platforms and working with RAG.
Which cloud platforms are supported?
Experience with AWS, Azure, or GCP is required.
How can candidates apply?
Candidates can send their updated resume to contact@t3partner.in.
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