GenAI Fullstack Developer

Pratham Software; Jaipur; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Pratham Software in Jaipur seeks an experienced full stack developer with strong backend in .NET 6+, C#, and frontend with React/TypeScript. The role emphasizes AI/LLM integration, cloud familiarity (Azure/AWS), and building scalable RESTful APIs and microservices.

You will work across DevOps practices, containers, and Datadog/observability tools. The candidate should have 3-6 years of software development experience, hands-on cloud deployment experience, and a passion for secure, high-quality

Qualifications

• 3-6 years of professional experience in software development.
• Strong full stack development skills across backend, database, frontend, and DevOps.
• Hands-on AI and LLM integration experience.
• Experience with RESTful APIs and microservices.
• Knowledge of SOLID principles and design patterns.
• Security best practices.

Skills

Excellent communication

C#

.NET 6+

Full stack

ReactJS

TypeScript

Python

RESTful APIs

Kubernetes

Docker

OpenAI API

Entity Framework / LINQ

Tools

Azure

AWS

PostgreSQL

MS-SQL

LangChain

LangGraph

Semantic Kernel

Kubernetes

Docker

Job description

• Must Have Skills:
• Excellent communication and analytical skills
• 3-6years of professional experience in software development.
• Strong hands-on experience in .NET 6+ with C# for backend development.
• Working experience of minimum one of the modern frontend frameworks: Angular, React, Vue etc.
• Working knowledge of cloud platforms (AWS or Azure) and cloud-native development concepts.
• Good knowledge of RDBMS / No SQL / Graph concepts and able to write queries or through ORM Layer (Entity Framework / LINQ)
• Strong full stack development skills:
• Backend: Python, FastAPI, PyTest, OpenAI API integration, RESTful API design.
• Database: PostgreSQL/SQL, schema design, query optimization, migrations.
• Frontend: ReactJS, TypeScript, NextJS, CLI tools; OfficeJS
• DevOps: CI/CD (GitHub Actions/Jenkins), Kubernetes, Docker, cloud-native deployment.
• Monitoring/Testing: Datadog, Postman, automated test cases.
• AI Tools: CoPilot, Cursor, productivity-enhancing dev workflows.
• Hands-on experience with Generative AI and LLM integration.
• Experience with:
• Prompt engineering
• RAG pipelines
• Embeddings and vector databases
• AI API integration
• Strong experience building RESTful APIs and microservices.
• Familiarity with containerization (Docker, Kubernetes).
• Good understanding of REST APIs, Microservices, authentication/authorization.
• Hands-on experience integrating AI/ML solutions into applications.
• Experience with Git, branching strategies, CI/CD pipelines, and DevOps best practices.
• Expertise in writing high-quality, secure, and maintainable code using design patterns and best practices.
• Strong skills in debugging, troubleshooting, and improving application performance.
• Understanding of software engineering best practices, including SOLID principles, design patterns, and unit testing using any framework like NUnit/XUnit/Playwright etc.
• Knowledge of security best practices

Must Have Technologies

• .Net Framework / Core/Python
• C#
• MS-SQL / Postgres
• Angular / React / Vue.js
• AI Agents/Tools
• LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
• Azure / AWS
• Security best practices (OWASP Guideline)
• Machine Learning concepts and model deployment

Good to Have Skills:

1. Prior experience in containerization tools like Docker and orchestration frameworks like Kubernetes

2. Exposure to serverless components (AWS Lambda / Azure Functions)

3. Familiarity with monitoring and logging tools (CloudWatch, App Insights, Grafana, etc.)

4. Knowledge of Agile / Scrum methodology and JIRA are added advantage

5. Hands on experience leveraging AI tools in design & development

6. AWS / AZURE intermediate or professional certification