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

Contemporary 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 (India)
🏢 Experian
📍 India