Software Developer with AI / Java

Purview Services; Jaipur; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Purview Services in Jaipur is seeking a senior AI-enabled software developer to drive production-grade Java ecosystems, frontend React, and DevOps practices. You will design scalable backend services with SQL Server, leverage agentic AI frameworks, and build RAG pipelines and knowledge graphs.

The role requires strong Python (FastAPI), LangChain expertise, and experience deploying AI-enabled solutions in cloud environments (AWS/Azure/GCP).

Qualifications

• Experience with AI applications to software development patterns and processes.
• Minimum 7 years in production applications development in Java ecosystems, including frontend (React) and DevOps.
• Proficiency in Java and Web API development; building scalable, secure backend services.
• Hands-on React experience for dynamic, high-performance web apps.
• Expertise in database design and SQL skills, especially SQL Server, with T-SQL scripting.
• Experience with DevOps: CI/CD, automation, release management.
• Knowledge of SDLC processes from requirements to maintenance.
• Hands-on with agentic AI frameworks (LlamaIndex, Pydantic-AI, LangChain).
• Experience designing RAG pipelines, knowledge graphs, context-aware architectures.
• Strong Python skills with libraries like FastAPI, Pydantic, OpenAI API.
• Familiarity with observability tools for AI agents (Phoenix, Ragas).
• Strong prompt engineering, memory management, and agent orchestration.
• Cloud familiarity (AWS/Azure/GCP) for production deployments.
• Strong analytical, troubleshooting, and stakeholder communication skills.
• Commitment to responsible AI, including transparency and regulatory compliance.

Skills

AI in software dev

Java production apps

Java Web APIs

React

SQL Server

DevOps CI/CD

SDLC

Agentic AI frameworks

RAG pipelines

Python FastAPI

Observability AI tools

Prompt engineering

Cloud platforms

Communication skills

Responsible AI

Job description

Role & responsibilities:

Job Requirements (Skills)

• Experience with application of AI to software development patterns and processes to transform the way teams build products at scale
• A minimum of 7 years of professional experience in production applications development in Java ecosystems including front-end development (preferrably React) and DevOps activities with a strong ability to troubleshoot, resolve, and prevent issues in a high-pressure environment.
• Proficiency in Java and Web API development, with a solid understanding of building and maintaining scalable, secure, and efficient backend services.
• Strong, hands-on experience with React, with a focus on building dynamic, interactive, and high-performance web applications.
• Expertise in database design and SQL skills, particularly with SQL Server, including advanced T-SQL scripting, query optimization, and performance tuning.
• Comprehensive experience in a DevOps activities like continuous integration, continuous delivery
• Experience with the Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance.
• Exceptional problem-solving skills and a keen attention to detail, ensuring high-quality deliverables and efficient resolution of complex technical challenges.
• Hands-on experience with agentic AI frameworks such as LlamaIndex, Pydantic-AI, LangChain, or similar.
• Proficiency in designing and implementing RAG pipelines, knowledge graphs, and context-aware agent architectures.
• Strong programming skills in Python and familiarity with relevant libraries (e.g., FastAPI, Pydantic, OpenAI API).
• Experience with observability and evaluation tools for AI agents, such as Phoenix and Ragas, including setting up monitoring dashboards and performance metrics.
• Solid understanding of prompt engineering, memory management, and agent orchestration patterns.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying agentic solutions in production environments.
• Strong analytical, troubleshooting, and communication skills, with the ability to explain complex agentic concepts to diverse stakeholders.
• Commitment to responsible AI practices, including transparency, fairness, and compliance with regulatory standards