Senior Full Stack GenAI Developer

Persistent Systems; Pune District; Sur place; INR 2 400 000 - 3 600 000; Plein temps

Avantages offerts par ce poste

Flexible work hours

Long Service awards

Group term life insurance

Personal accident insurance

Mediclaim hospitalization

Hybrid work environment

Education sponsorship

Résumé du poste

Persistent Systems seeks a Senior Full Stack GenAI Developer to design, build, and deploy enterprise GenAI applications. You will work across back-end (Java/Python), front-end (React/Angular), and AI services, delivering scalable cloud-native solutions with AWS.

You will integrate LLMs, develop RAG pipelines, and implement secure CI/CD, testing, and governance. Collaboration with cross-functional teams is essential for business value delivery.

Qualifications

• 6 to 10 years of experience in software development or enterprise applications.
• Strong backend development experience using Java (Spring Boot) and/or Python (FastAPI, Django, Flask).
• Hands-on experience with frontend development using React, Angular, TypeScript, HTML5, and modern UI frameworks.
• Experience integrating Large Language Models (LLMs) into enterprise applications.
• Experience with REST APIs, microservices, and distributed systems.
• Familiarity with AWS cloud services and containerized architectures.
• Knowledge of GenAI orchestration frameworks (LangChain, LangGraph, Spring AI, Strands).
• Understanding of MLOps/LLMOps concepts and AI governance.

Responsabilités

• Design, develop, and maintain scalable full-stack GenAI-based applications.
• Build and integrate Generative AI capabilities and LLMs into enterprise apps.
• Develop and optimize RAG pipelines, embeddings, vector databases, and semantic search.
• Create RESTful APIs and microservices; design cloud-native services on AWS.
• Collaborate with product teams to deliver business value and secure coding practices.
• Implement automated testing strategies across unit, integration, API, and end-to-end levels.
• Set up CI/CD pipelines, DevSecOps practices, and monitoring for reliable delivery.

Connaissances

Backend development (Java/Spring Boot)

Backend development (Python/FastAPI/Dj

Frontend development (React/Angular)

TypeScript/HTML5

AWS cloud services

GenAI/Large Language Models

REST APIs/microservices

LLM integration and retrieval systems

CI/CD, DevSecOps

Docker/Kubernetes

LangChain/LangGraph/Spring AI/Strands

MLOps/LLMOps concepts

Outils

Docker

Kubernetes

Spring Boot

FastAPI

Django

Flask

React

Angular

TypeScript

HTML5

LangChain

LangGraph

Spring AI

Strands

AWS

Description du poste

We are seeking a highly skilled Senior Full Stack GenAI Developer to build and deliver enterprise-grade AI-powered applications. The ideal candidate will possess strong expertise in full-stack development using Java and/or Python, modern frontend frameworks, AWS cloud technologies, and Generative AI frameworks. You will be responsible for designing, developing, and deploying end-to-end GenAI solutions, including user interfaces, APIs, retrieval pipelines, LLM integrations, and cloud-native services while following secure and scalable engineering practices.

• Role: Senior Full Stack GenAI Developer
• Location: Pune
• Experience: Between 6 to 10 Years
• Job Type: Full Time Employment

What You'll Do:

• Design, develop, and maintain scalable full-stack applications using Java, Python, React, Angular, and modern development frameworks.
• Build and integrate Generative AI capabilities into enterprise applications using Large Language Models (LLMs).
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector databases, and semantic search solutions.
• Design and implement RESTful APIs, backend services, and microservices architectures.
• Integrate foundation models and AI services into business applications using industry-standard frameworks and tools.
• Collaborate with product managers, architects, designers, and engineering teams to define requirements and deliver business value.
• Develop automated testing strategies across unit, integration, API, and end-to-end testing layers.
• Implement AI guardrails, evaluation frameworks, and monitoring mechanisms to ensure reliable AI system performance.
• Build and deploy cloud-native applications on AWS using containerized and serverless architectures.
• Create and maintain CI/CD pipelines to enable automated deployments and efficient software delivery.
• Participate in code reviews, architecture discussions, and technical design sessions.
• Apply secure coding practices and compliance controls throughout the software development lifecycle.
• Monitor application performance, troubleshoot production issues, and continuously improve system reliability and scalability.
• Stay current with advancements in Generative AI, cloud technologies, software engineering practices, and enterprise architecture patterns.

Expertise You'll Bring:

• 6 to 10 years of experience in Full Stack Development, Software Engineering, or Enterprise Application Development.
• Strong backend development experience using Java (Spring Boot) and/or Python (FastAPI, Django, Flask).
• Hands-on experience with frontend development using React, Angular, TypeScript, HTML5, and modern UI frameworks.
• Expertise in designing and developing REST APIs, microservices, and distributed systems.
• Strong experience with relational and NoSQL databases.
• Hands-on experience integrating Large Language Models (LLMs) into enterprise applications.
• Strong understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases, and Agentic AI workflows.
• Experience implementing AI guardrails, model evaluations, LLM monitoring, and governance controls.
• Proficiency with GenAI orchestration frameworks such as LangChain, LangGraph, Spring AI, Strands, or similar technologies.
• Strong working knowledge of AWS services and cloud-native design principles.
• Experience with Docker, Kubernetes, container orchestration, and microservices-based architectures.
• Hands-on experience with CI/CD pipelines, DevSecOps practices, observability, and resilience engineering.
• Familiarity with MLOps and LLMOps concepts, including prompt versioning, model versioning, evaluation automation, monitoring, and optimization.
• Knowledge of enterprise integration patterns, event-driven architectures, and distributed application design.
• Strong problem-solving, debugging, performance optimization, and stakeholder collaboration skills.
• Experience within Banking, Financial Services, Payments, or highly regulated industries will be an added advantage.
• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.

Let''s unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."