Job Description

- Design and build end-to-end full stack applications (frontend, backend, APIs, data layers)
- Architect scalable, resilient systems using microservices and cloud-native patterns
- Integrate Generative AI models (LLMs) into applications for automation, insights, and user experience
- Build and optimize AI-driven workflows (RAG pipelines, agents, prompt engineering)
- Develop applications using tools like:
- OpenAI / Azure OpenAI / Anthropic APIs
- LangChain / LlamaIndex / Semantic Kernel

- Implement:

- Retrieval-Augmented Generation (RAG)
- Vector databases (Pinecone, Weaviate, FAISS)
- Embedding pipelines and semantic search

- Design prompt strategies and evaluation frameworks
- Ensure responsible AI practices (safety, bias mitigation, monitoring)
- Build contemporary UI using:

- React, Next.js, Angular, or Vue

- Create intuitive interfaces for AI-powered features (chat, copilots, dashboards)

Backend Development

- Develop scalable services using:
- Node.js, Python, Java, or Go

- Build REST/GraphQL APIs and real-time systems
- Handle orchestration of AI services and workflows
- Work with:

- SQL/NoSQL databases
- Data pipelines and streaming (Kafka, etc.)

- Deploy systems using:

- AWS / Azure / GCP
- Docker, Kubernetes

- Implement CI/CD pipelines




- Provide technical leadership and mentorshipYou will report to a Senior Engineering Manager

Qualifications

- You need to have 8 12+ years of full stack development experience
- You need to be expertise in:
- Frontend frameworks (React/Next.js preferred)
- Backend systems (Node.js / Python / Java)

- Experience with system design, scalability, and performance

GenAI AI/ML

- Hands-on experience with:
- LLM APIs and GenAI platforms
- RAG architectures and vector search

- Understanding of:

- Prompt engineering
- Model evaluation and tuning

- Experience building AI-powered applications in production

Modern Tooling

- Cloud platforms (AWS, Azure, GCP)
- Containerization (Docker, Kubernetes)
- DevOps practices and CI/CD
- Git, testing frameworks, observability tools
- 3+ years of experience with AI agents and autonomous workflows
- Experience in enterprise-scale systems

Preferred Qualifications

- Experience with AI agents and autonomous workflows
- Exposure to MLOps pipelines
- Experience in enterprise-scale systems

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr. Staff Engineer (Java Fullstack or Python, AI) (Hyderabad)
🏢 Experian
📍 Hyderabad