Codian Cloud Tech
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Full Stack AI Engineer
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Codian Cloud Tech is hiring a Full Stack AI Engineer with 5+ years of software development experience for a 6-month contract opportunity. The role is remote/WFH with a budget of ₹1.2 LPM, and the client is located in Chennai; candidates may need to visit the client office for 1–2 days if required. Strong expertise in .NET, MS SQL Server or equivalent RDBMS, MongoDB or equivalent NoSQL, API development, and AI-assisted development workflows is required. Candidates should have at least 3 years of experience actively using AI tools as part of their development workflow. Immediate joiners are preferred, with applications limited to candidates having a notice period of less than 15 days.
Job Overview
| Particulars | Details |
|---|---|
| Position | Full Stack AI Engineer |
| Company | Codian Cloud Tech |
| Location | WFH |
| Job Type | Full-Time |
| Experience | 4 - 5 years |
| Category / Department | IT |
| Application Mode |
🏢 About Codian Cloud Tech
Company Overview:
Codian Cloud Tech provides enterprise Salesforce, cloud, and talent solutions. The company focuses on strategic consulting, technology talent solutions, Salesforce training, and IT engineering services.
Its professional services include Salesforce and Cloud implementation, full-time and contract resource hiring, freelance staffing, and corporate training and certification preparation.
Company Mission:
To support businesses through strategic consulting, technology solutions, specialized talent, and professional training.
Company Vision:
Not Provided
Core Values / Principles
Strategic consulting
Technical excellence
Specialized talent
Professional development
Client-focused solutions
🌐
Company Website
📍
Office Location
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Clearly highlight 5+ years of software development experience.
Showcase 3+ years of practical AI-assisted development experience.
Highlight .NET, SQL Server, MongoDB, and API development prominently.
Include practical projects involving LLM APIs, RAG, vector databases, or AI agents.
Mention experience with prompt/context engineering and AI code-generation workflows.
Quantify improvements achieved through AI-assisted development, automation, or engineering optimization where possible.
Interview Preparation:
Prepare for advanced .NET, API development, SQL, and MongoDB questions.
Be ready to explain how you use AI tools throughout the software development lifecycle.
Revise Prompt Engineering, Context Engineering, RAG, embeddings, and vector databases.
Understand Generator–Critic workflows and AI output validation.
Review AI agent frameworks and agentic coding concepts.
Prepare practical scenarios involving AI code review and AI-generated test cases.
Be ready to discuss end-to-end feature ownership and Agile/Kanban experience.
Professional Tips:
Clearly mention your notice period, especially if it is less than 15 days.
Highlight AI-assisted development experience separately from general software development.
Include relevant AI projects and the tools/frameworks used.
Mention your availability for the required Chennai client-office visit.
Use the requested subject line when submitting your application.
📝 Job Description
Position Details:
Codian Cloud Tech is looking for a Full Stack AI Engineer who can combine strong software engineering capabilities with practical AI-assisted development experience.
The role involves owning features end-to-end, from translating user outcomes into precise specifications and acceptance criteria to driving AI-assisted development and validating generated outputs. The engineer will also design and operate Generator–Critic pipelines in which AI-generated outputs are systematically reviewed against defined specifications.
The position requires hands-on experience with .NET, MS SQL Server or equivalent relational databases, MongoDB or equivalent NoSQL databases, and API development. Candidates should also understand modern AI engineering concepts including Prompt Engineering, Context Engineering, LLM APIs, RAG, Vector Databases, Agent Frameworks, Agentic Coding, AI Code Review, and AI Test Generation.
The position is remote/WFH. The client is located in Chennai, and the selected candidate may be required to visit the client office for 1–2 days if needed.
Benefits / Compensation
Budget: ₹1.2 LPM
Contract duration: 6 months
Remote / WFH opportunity
Client office visit may be required for 1–2 days if needed
Candidate Requirements:
Bachelor’s degree in Software Engineering, Computer Science, or a related technical field.
5+ years of overall software development experience.
3+ years of actively using AI tools in the development workflow.
Strong proficiency in .NET.
Strong knowledge of MS SQL Server or equivalent RDBMS.
Experience with MongoDB or equivalent NoSQL databases.
Strong API development experience.
Ability to create precise, structured specifications for development and validation.
Practical understanding of Prompt Engineering and Context Engineering.
Ability to diagnose AI output failures.
Working knowledge of LLM APIs, RAG, Vector Databases, Agent Frameworks, Agentic Coding, AI Code Review, and AI Test Generation.
Strong written communication skills.
Experience with Agile/Kanban environments and end-to-end ownership.
Notice period must be less than 15 days.
Preferred Skills:
RAG pipelines
Vector Databases
LLM API integrations
LangChain
LangGraph
CrewAI
AutoGen
LangSmith
LangFuse
Braintrust
Spec-Driven Development
BMAD
GitHub Spec Kit
Real Estate Technology
Mortgage / Financial Services
Model Context Protocol (MCP)
Working Days & Hours:
Not Provided
How to Apply:
Send your updated resume to info@codiancloudtech.com with the subject line Full Stack AI Engineer.
🎯 Key Responsibilities
- ✓ Create precise feature specifications covering requirements, edge cases, constraints, and acceptance criteria.
- ✓ Own features from requirements through development and validation.
- ✓ Translate user outcomes into clear acceptance criteria.
- ✓ Drive AI-assisted software development workflows.
- ✓ Validate AI-generated outputs against defined specifications.
- ✓ Design and operate Generator–Critic pipelines.
- ✓ Build and maintain APIs, data layers, services, and integrations.
- ✓ Support AI-native application workflows.
- ✓ Evaluate AI development tools using structured criteria.
- ✓ Provide evidence-based recommendations for AI development tools.
- ✓ Work independently across development, quality, and requirements.
- ✓ Identify gaps proactively and reduce unnecessary handoffs.
💡 Required Qualifications & Skills
✓ .NET
✓ MS SQL Server / RDBMS
✓ MongoDB / NoSQL
✓ API Development
✓ Python
✓ Prompt Engineering
✓ Context Engineering
✓ LLM APIs
✓ RAG
✓ Vector Databases
✓ Agent Frameworks
✓ Agentic Coding
✓ AI Code Review
✓ AI Test Generation
✓ Structured Technical Specifications
✓ Agile / Kanban
✓ Strong Written Communication
🚀 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 AI 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.
Expected Career Progression Roadmap:
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.
💡 Pro-Tip: Before your interview, research the company's recent news, product launches, and Glassdoor work reviews. Prepare 2-3 thoughtful questions for the interviewer regarding team dynamics and success metrics for this role.
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 Market Compensation in India:
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid 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.
Suggested Professional Certifications:
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).
Contact Email:
info@codiancloudtech.com
Frequently Asked Questions
What is the job title?
The position is for a Full Stack AI Engineer.
What experience is required?
Candidates need 5+ years of overall software development experience, including 3+ years of actively using AI tools in their development workflow.
What is the contract duration?
The contract duration is 6 months.
Is the position remote?
Yes. The position is specified as Remote / Work From Home.
What is the budget for the role?
The stated budget is ₹1.2 LPM.
Is immediate joining required?
Immediate joiners are preferred, and candidates should have a notice period of less than 15 days.
Will the selected candidate need to visit the client office?
The client is located in Chennai, and the candidate may need to visit the client office for 1–2 days if required.
What core technologies are required?
The role requires .NET, MS SQL Server or an equivalent RDBMS, MongoDB or an equivalent NoSQL database, and API development skills.
What AI technologies should candidates know?
Candidates should have working knowledge of LLM APIs, RAG, Vector Databases, Agent Frameworks, Agentic Coding, AI Code Review, and AI Test Generation.
How can candidates apply?
Candidates should email their updated resume to info@codiancloudtech.com with the subject line “Full Stack AI Engineer.”
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