Software Developer with AI / Java

Purview Services; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Purview Services in Hyderabad is seeking a senior software engineer specialized in AI-enabled product development. You will design and implement scalable Java backends, build rich front-ends with React, and drive DevOps practices across CI/CD pipelines in production environments.

The ideal candidate has 7+ years of experience in production applications, strong SQL and data engineering skills, experience with AI tooling (LangChain, LlamaIndex, Pydantic-AI), and a solid track record of delivering

Qualifications

• Experience with application of AI to software development patterns and processes to transform product construction at scale.
• A minimum of 7 years of professional experience in production applications development in Java ecosystems including front-end development (preferably React) and DevOps with strong troubleshooting ability.
• Proficiency in Java and Web API development, with scalable, secure backend services.
• Strong hands-on experience with React for dynamic, high-performance web apps.
• Expertise in database design and SQL, particularly with SQL Server and advanced T-SQL.
• Comprehensive experience in DevOps activities like CI/CD.
• Experience with SDLC, including requirements, design, development, testing, deployment, maintenance.
• Hands-on experience with agentic AI frameworks (LlamaIndex, Pydantic-AI, LangChain).
• Proficiency in designing RAG pipelines, knowledge graphs, and context-aware architectures.
• Strong Python programming with libraries like FastAPI, Pydantic, OpenAI API.
• Experience with observability and evaluation tools for AI agents (Phoenix, Ragas).
• Understanding of prompt engineering, memory management, and agent orchestration patterns.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying AI solutions in production.
• Strong analytical, troubleshooting, and communication skills to explain AI concepts to stakeholders.
• Commitment to responsible AI practices (transparency, fairness, regulatory compliance).

Skills

Java

Front-end with React

DevOps

Python

Web API development

SQL

SDLC

AI agent frameworks

LlamaIndex

Pydantic-AI

LangChain

RAG pipelines

Knowledge graphs

Context-aware architectures

OpenAI API

Observability tools

Cloud platforms (AWS/Azure/GCP)

Problem solving

Communication

Responsible AI practices

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