Software Developer with AI / Java

Purview Services; Nagpur District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Purview Services in India seeks an experienced software engineer to drive AI-enabled product development. You will own backend services in Java, front-end work with React, and DevOps practices to ensure scalable, secure systems in production.

Required skills include Python, LangChain, LlamaIndex, and RAG pipelines, with strong SQL Server capabilities and OpenAI API familiarity. You will collaborate with cross-functional teams to deliver high-quality solutions.

Qualifications

• Experience applying AI to software development patterns at scale.
• 7+ years in production applications development (Java).
• Strong Java and Web API development skills.
• Hands-on React experience for dynamic web apps.
• Expertise in SQL Server and T-SQL optimization.
• CI/CD and DevOps practices in production systems.
• Familiarity with SDLC phases from requirements to maintenance.
• Experience with agentic AI frameworks (LangChain, LlamaIndex, Pydantic-AI).
• Designing RAG pipelines and knowledge graphs.

Responsibilities

• Develop scalable backend services with Java and Web APIs.
• Build interactive front-ends using React and related tech.
• Implement CI/CD pipelines and automated deployments.
• Design and maintain SQL Server databases and queries.
• Experiment with agentic AI frameworks and RAG pipelines.
• Collaborate across teams to define requirements and drive delivery.
• Ensure observability, monitoring, and performance metrics.

Skills

AI in software dev

Java ecosystem

React frontend

DevOps

Java Web API

SQL Server

CI/CD

SDLC

Problem solving

LangChain

Pydantic-AI

LlamaIndex

RAG pipelines

Knowledge graphs

Agent architectures

Python

FastAPI

Pydantic

OpenAI API

Phoenix

Ragas

Prompt engineering

Memory management

Agent orchestration

AWS

Azure

GCP

Analytical 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