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Full Stack Developer - Generative AI Job Opening In India, India – Now Hiring MNR Solutions


Job description

<p><p><b>Role Overview :</b><br/><br/></p><p>We are seeking a highly skilled Full Stack Developer with Generative AI expertise to design, develop, and deploy next-generation AI-powered applications.

This role requires strong hands-on experience with LangChain, LangGraph, FastAPI, LLM integrations (OpenAI/AWS Bedrock), and modern frontend/backend development frameworks.

You will play a key role in building scalable, production-ready Gen AI applications deployed on AWS cloud infrastructure.</p><br/><p><b>Key Responsibilities Development & Architecture :</b></p><p><br/></p>- Design and develop Generative AI applications leveraging LangChain, LangGraph, and FastAPI.<br/><br/></p><p>- Build responsive, interactive front-end applications using Angular, JavaScript, HTML, and CSS.<br/><br/></p><p>- Develop RESTful APIs and microservices in Python (FastAPI) and Java (Spring preferred).<br/><br/></p><p>- Architect and integrate Gen AI modules with enterprise AI Integration :</b></p><p><br/></p>- Implement and optimize LLM-based features using OpenAI, AWS Bedrock or equivalent.<br/><br/></p><p>- Apply prompt engineering and LLM fine-tuning strategies to deliver context-aware AI solutions.<br/><br/></p><p>- Enable semantic search, embeddings, and vector databases (Qdrant, MongoDB, PostgreSQL) for </p><p>intelligent & Deployment :</b></p><p><br/></p>- Deploy applications on AWS (Lambda, API Gateway, S3, EC2, DynamoDB) with best practices for scalability and security.<br/><br/></p><p>- Ensure smooth CI/CD pipelines, monitoring, and logging for production workloads.<br/><br/></p><p>- Optimize system performance, security, and & Leadership :</b></p><p><br/></p>- Work closely with AI/ML engineers, data scientists, and product managers to deliver innovative solutions.<br/><br/></p><p>- Provide technical mentorship and contribute to code reviews, best practices, and system design discussions.<br/><br/></p><p>- Collaborate with cross-functional teams to integrate Gen AI capabilities into enterprise workflows.</p><br/><p><b>Required Skills & Competencies :</b><br/><br/></p><p>- Backend Development: Python (FastAPI, LangChain, LangGraph), Java (Spring preferred).<br/><br/></p><p>- Frontend Development: Angular, JavaScript, HTML, CSS.<br/><br/></p><p>- Generative AI: Experience with LLMs (OpenAI, AWS Bedrock), prompt engineering, embeddings, and tuning.<br/><br/></p><p>- Cloud Expertise: Strong knowledge of AWS services (Lambda, API Gateway, S3, DynamoDB, EC2).<br/><br/></p><p>- Databases: PostgreSQL, MongoDB, Qdrant (vector DB).<br/><br/></p><p>- Strong understanding of RESTful API design, microservices architecture, and integration patterns.</p><br/><p><b>Nice-to-Have Skills :</b><br/><br/></p><p>- Experience with Django/Flask for backend development.<br/><br/></p><p>- Understanding of AI/ML pipelines and model lifecycle management.<br/><br/></p><p>- Hands-on Java integration for embedding Gen AI modules into enterprise systems.<br/><br/></p><p>- Knowledge of DevOps practices (Docker, Kubernetes, Terraform, CI/CD pipelines).</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Full Stack Potential: Insight & Career Growth Guide


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Are You Looking for Full Stack Developer Generative AI Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at MNR Solutions adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Full Stack Developer Generative AI typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Full Stack Developer Generative AI Job Success

MNR Solutions interview tips for Full Stack Developer   Generative AI

Here are some tips to help you prepare for and ace your Full Stack Developer Generative AI job interview:

Before the Interview:

Research: Learn about the MNR Solutions's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Full Stack Developer Generative AI interview at MNR Solutions, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the MNR Solutions's products or services and be prepared to discuss how you can contribute to their success.

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