Software Developer with AI / Java

Purview Services; Lucknow; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Purview Services in Lucknow, India, seeks a senior software engineer with expertise in AI-driven development patterns and Java ecosystems. Responsibilities include building scalable back-end services, front-end using React, and DevOps activities across the SDLC.

Strong SQL Server skills and experience with agentic AI frameworks are required. Applicants should have hands-on Python experience (FastAPI, Pydantic, OpenAI API) and familiarity with cloud deployments (AWS/Azure/GCP).

Qualifications

• Experience applying AI to software development patterns to transform product building at scale.
• Minimum 7 years in production applications development in Java ecosystems including front-end (React) and DevOps with strong troubleshooting.
• Proficiency in Java and Web API development; building scalable, secure backend services.
• Strong React experience for dynamic, high-performance web apps.
• Expertise in SQL Server with advanced T-SQL scripting and performance tuning.
• Experience in DevOps: CI/CD, SDLC, and production deployment.
• Knowledge of Python and libraries (FastAPI, Pydantic, OpenAI API).
• Experience with agentic AI frameworks (LlamaIndex, LangChain or similar).
• Designing and implementing RAG pipelines, knowledge graphs, and context-aware architectures.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying AI solutions in production.
• Strong analytical, troubleshooting, and communication skills.

Skills

AI in software development

Java ecosystem

React frontend development

DevOps practices

Python programming

Web API development

SQL Server

SDLC experience

Prompt engineering

Agent architectures / RAG pipelines

Cloud platforms (AWS/Azure/GCP)

Communication and problem solving

Responsible AI practices

Tools

OpenAI API

FastAPI

Pydantic-AI

LlamaIndex

LangChain

Phoenix

Ragas

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