Senior Full Stack GenAI Developer
Summary
Designs, builds, and deploys enterprise GenAI applications end to end: Java/Python backends (Spring Boot, FastAPI), React/Angular frontends, REST microservices, LLM/RAG pipelines with embeddings and vector databases, and cloud-native AWS services with CI/CD and AI guardrails. Full-time, on-site Pune role for 6-10 years' experience.
About Position:
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.
Benefits:
- 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
- Annual health check-ups
- 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."
Skills
- Accessibility
- Agentic AI
- AI
- Angular
- API
- Automation
- AWS
- CI/CD
- Cloud
- Cloud Native
- DevSecOps
- Distributed Systems
- Django
- Docker
- Embeddings
- Event Driven Architecture
- FastAPI
- Flask
- Generative AI
- HTML
- Java
- Kubernetes
- LangChain
- LangGraph
- LLM
- LLMOps
- Microservices
- MLOps
- NoSQL
- Observability
- Prompt Engineering
- Python
- RAG
- React
- REST
- Secure Coding
- Semantic Search
- Serverless
- Spring
- Test Automation
- TypeScript
- Vector Databases
