Software Developer with AI / Java

Purview Services; Coimbatore District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Purview Services in India is seeking a senior software engineer proficient in applying AI to software development patterns, with 7+ years in production Java applications and strong React frontend and DevOps experience.

Candidates should be skilled in Python, SQL Server, SDLC, and building scalable backend services, plus familiarity with agentic AI frameworks, RAG pipelines, knowledge graphs, and cloud platforms.

Qualifications

• Experience applying AI to software development patterns.
• 7+ years of professional experience in production applications development in Java ecosystems, including front-end development (preferably React) and DevOps.
• Proficiency in Java and Web API development with scalable, secure backend services.
• Strong hands-on React experience for dynamic web apps.
• Expertise in database design and SQL skills (SQL Server; advanced T-SQL).
• Experience with SDLC and end-to-end software delivery.
• Hands-on with agentic AI frameworks such as LlamaIndex, Pydantic-AI, LangChain.
• Proficiency in Python and familiarity with libraries (FastAPI, Pydantic, OpenAI API).
• Experience with observability and evaluation tools for AI agents (Phoenix, Ragas).
• Cloud platform familiarity (AWS, Azure, GCP).
• Strong analytical, troubleshooting, and communication skills.
• Commitment to responsible AI practices.

Skills

AI in software development

Java production applications

React frontend development

DevOps practices

Java backend APIs

Python programming

SQL Server / T-SQL

SDLC

Agentic AI frameworks

RAG pipelines

Knowledge graphs

Cloud platforms (AWS/Azure/GCP)

Observability tools (Phoenix/Ragas)

Prompt engineering

Agent orchestration patterns

Communication skills

Regulatory/compliance for AI

Tools

FastAPI

Pydantic

OpenAI API

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