Software Developer with AI / Java

Purview Services; Surat; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Purview Services in India seeks a senior AI/software development specialist to drive AI-enabled patterns at scale. You will own Java backend and React front-end work, with DevOps responsibilities to keep services reliable and secure in production.

You will design AI pipelines, RAG systems, and knowledge graphs, integrate Python tooling (FastAPI, OpenAI API), and ensure observability and performance. Excellent problem solving and communication are essential.

Qualifications

• Experience applying AI to software development patterns to scale products.
• At least 7 years in production applications development in Java ecosystems.
• Front-end development experience, preferably React, and DevOps activities.
• Proficiency in Java and Web API development.
• Hands-on experience with React and building dynamic web apps.
• Expertise in SQL Server and advanced T-SQL scripting.
• Experience with SDLC including requirements, design, testing, deployment.
• Strong problem-solving and attention to detail.
• Hands-on experience with agentic AI frameworks such as LlamaIndex, Pydantic-AI, LangChain.
• Proficiency in designing RAG pipelines, knowledge graphs, and context-aware architectures.
• Strong Python skills with libraries like FastAPI, Pydantic, OpenAI API.
• Experience with observability tools for AI agents such as Phoenix and Ragas.
• Understanding of prompt engineering, memory management, and agent orchestration.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying agentic solutions.
• Strong analytical, troubleshooting, and communication skills.
• Commitment to responsible AI practices, including transparency and compliance.

Skills

AI in software development patterns

Java ecosystem

Front-end development (React)

DevOps

Web API development

React

SQL Server

SDLC

Agentic AI frameworks (LlamaIndex, Pyd

Tools

React

SQL Server

FastAPI

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