Software Developer with AI / Java

Purview Services; Faridabad District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Purview Services is seeking an experienced engineer to apply AI to software development patterns at scale, with strong Java backend and React frontend skills. The role emphasizes DevOps practices, SQL Server expertise, and building scalable, secure services.

You will work with Python, OpenAI API, and agentic frameworks to design context-aware architectures and robust SDLC processes, delivering high-quality, maintainable solutions in production environments.

Qualifications

• Experience applying AI to software development patterns at scale.
• 7+ years in production applications development in Java ecosystems, including frontend (React) and DevOps.
• Proficiency in Java and Web API development.
• Strong React experience for dynamic, high-performance web apps.
• Expertise in SQL Server and advanced T-SQL scripting.
• Experience with CI/CD and other DevOps activities.
• SDLC familiarity from requirements to maintenance.
• Knowledge of agentic AI frameworks and context-aware architectures.
• Python proficiency; familiarity with libraries like FastAPI and OpenAI API.
• Experience with observability and evaluation tools for AI agents.

Responsibilities

• Apply AI to software development processes at scale.
• Develop and maintain Java backend services and React frontend components.
• Design and implement scalable, secure APIs.
• Build and optimize RAG pipelines, knowledge graphs, and agent architectures.
• Develop and utilize SDLC practices including requirements gathering and testing.
• Implement observability dashboards and performance metrics for AI agents.

Skills

AI in software development

Java backend development

Frontend development (React)

DevOps practices

Python

Prompt engineering

Troubleshooting under pressure

Communication skills

Regulatory/compliance awareness in AI

Tools

React

SQL Server

OpenAI API

Pydantic-AI

LangChain

LlamaIndex

FastAPI

Ragas

Phoenix

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